Direct mailing in a geo-spatial environment

ABSTRACT

A method and system of direct mailing in a geo-spatial environment are disclosed. In one embodiment, a method includes generating a community network of user profiles, each user profile associated with a verified geographic location and at least one of a contact address, associating a first user with a first user profile, selecting a mail mode, selecting a communication, generating a first display view to include a map view embodied by the community network, at least a portion of the user profiles represented at a location in the map view associated with the verified geographic location of the first user profile, selecting a second user profile from the portion of the user profiles, and generating a mailing of the communication, in a format associated with the mail mode, between the first user profile and the contact address associated with the second user profile.

CLAIMS OF PRIORITY

This patent application is a Continuation in Part of:

-   -   1) U.S. Continuation-in-Part patent application Ser. No.        14/203,531, titled ‘GEO-SPATIALLY CONSTRAINED PRIVATE        NEIGHBORHOOD SOCIAL NETWORK’ filed on Mar. 10, 2014, now issuing        as U.S. Pat. No. 8,775,328 on Jul. 8, 2014, and which itself is        a Continuation-in-Part application of two applications:        -   a) U.S. Continuation-in-Part patent application Ser. No.            11/653,194 titled ‘LODGING AND REAL PROPERTY IN A            GEO-SPATIAL MAPPING ENVIRONMENT’ filed on Jan. 12, 2007, and        -   b) U.S. Utility patent application Ser. No. 11/603,442            titled ‘MAP BASED NEIGHBORHOOD SEARCH AND COMMUNITY            CONTRIBUTION’ filed on Nov. 22, 2006, which further depends            on 60/853,499 filed on Oct. 19, 2006 and 60/854,230 filed on            Oct. 25, 2006.    -   2) U.S. Utility patent application Ser. No. 14/089,779 titled        ‘EMERGENCY INCLUDING CRIME BROADCAST IN A NEIGHBORHOOD SOCIAL        NETWORK’, filed on Nov. 26, 2013.

FIELD OF TECHNOLOGY

This disclosure relates generally to the technical field ofcommunications and in one example embodiment, to a method and system ofdirect mailing in a geo-spatial environment.

BACKGROUND

People use real mail and physical mail (e.g., postal mail, courierservice) to contact others. Real mail may be difficult to use, however,if an intended recipient's email address is not easily ascertainable.For example, the intended recipient may not be a member of a socialnetwork providing member email addresses or the intended recipient'semail address may be private.

Physical mail may also be difficult to use. A sender may produce thephysical item to be mailed, locate an address for the intendedrecipient, buy and affix postage to the item, and find a mailbox orother depository to dispatch the item.

Bulk mail to multiple intended recipients may present additional issues.The sender may not know the addresses of multiple intended recipients.The sender may purchase address list(s) of the multiple intendedrecipients. The sender may expend time and effort producing multiplecopies of the items to be mailed. The sender may expend time and effortto address and post each of the items to each of the multiplerecipients. Alternatively, the sender may incur costs hiring a companyto procure address lists, produce the items, and deliver the items.

SUMMARY

A method and system of direct mailing in a geo-spatial environment aredisclosed. In one aspect, a method includes generating a communitynetwork of user profiles, each user profile of the user profilesassociated with a verified geographic location and a contact address.The method includes associating a first user with a first user profileof the user profiles, selecting a mail mode, and selecting acommunication. The method further includes generating a first displayview to include a map view embodied by the community network, at least aportion of the user profiles represented at a location in the map viewassociated with the verified geographic location of the first userprofile of the user profiles. The method includes selecting a seconduser profile from the at least a portion of the user profiles, andgenerating a mailing of the communication, in a format associated withthe mail mode, between the first user profile of the user profiles andthe contact address associated with the second user profile of the userprofiles, wherein the contact address is based on the mail mode.

The selecting the mail mode may include selecting a physical mail mode,a facsimile mode, an email mode, and/or an instant message mode. Thecontact address may be selected from a group including: a physicalmailing address associated with the verified geographic location of theuser profile, a facsimile number, an email address, and/or an instantmessage user identifier. A physical mail mode may be selected.

The mailing of the communication may be generated in a physical formatassociated with the physical mail mode, between the first user profileof the user profiles and the contact address associated with the seconduser profile of the user profiles. The contact address may be based on aphysical address associated with the second user profile of the userprofiles. A facsimile mode may be selected. The mailing of thecommunication may be generated in a facsimile format associated with thefacsimile mode, between the first user profile of the user profiles andthe contact address associated with the second user profile of the userprofiles. The contact address may be based on the facsimile numberassociated with the second user profile of the user profiles.

An email mode may be selected. The mailing of the communication may begenerated in an email format associated with the email mode, between thefirst user profile of the user profiles and the contact addressassociated with the second user profile of the user profiles. Thecontact address may be based on the email address associated with thesecond user profile of the user profiles. An instant message mode may beselected. The mailing of the communication may be generated in aninstant message format associated with the instant message mode, betweenthe first user profile of the user profiles and the contact addressassociated with the second user profile of the user profiles. Thecontact address may be based on the instant message user identifierassociated with the second user profile of the user profiles.

The location may be selected in the map view from a group including: astreet address, a city, a county, a state, and/or a country. A radiusassociated with the location in the map view may be selected. Userprofiles of the at least a portion of the user profiles having verifiedgeographic locations included in the radius may be selected.Demographics associated with the community network may be provided. Thedemographics may be associated with each user profile of the userprofiles. At least one demographic of the demographics may be selected.The user profiles of the at least a portion of the user profiles havingverified geographic locations included in the radius and having the atleast one demographic of the demographics may be selected.

The demographics may include an age, an age range, a gender, anoccupation, an ethnicity, a location of a residence, a location of abusiness, a marital status, an ownership status, a language, mobility,income, a life cycle, a socioeconomic status, and/or a lifestyle. Anonline commerce transaction associated with the mailing of thecommunication may be generated. The generating the online commercetransaction may include generating an online transaction associated withpayment of postage, and/or generating an online transaction associatedwith payment of services related to the mailing of the communication.

The mailing of the communication may be scheduled. The scheduling themailing of the communication may include determining a number ofmailings, determining a time period, and/or generating the number ofmailings within the time period. The communication may be created. Themethod may be in a form of a machine-readable medium embodying a set ofinstructions that, when executed by a machine, causes the machine toperform the method.

In another aspect, a system includes a geo-spatial environment, acommunity network algorithm of the geo-spatial environment, to includeuser profiles, using a processor and a memory, each user profile of theuser profiles to include a verified geographic location and a contactaddress.

The system includes a map algorithm of the geo-spatial environment toinclude map data which serves as a basis to render a map view in thegeo-spatial environment which identifies residences, businesses, andcivic structures having verified geographic locations. The systemfurther includes a mail mode algorithm of the geo-spatial environment todetermine a mail mode, a communication algorithm of the geo-spatialenvironment to select a communication, and a display algorithm of thegeo-spatial environment to generate a first display view to include amap view embodied by a community network, at least a portion of the userprofiles represented at locations in the map view associated with theverified geographic locations of the at least a portion of the userprofiles. The system also includes a recipient algorithm of thegeo-spatial environment to select a user profile from the at least aportion of the user profiles and a mail communication algorithm of thegeo-spatial environment to generate a mailing of the communication, in aformat associated with the mail mode, to a contact address associatedwith the user profile of the user profiles.

A commerce transaction algorithm of the geo-spatial environment maygenerate a commerce transaction associated with elements. A postagealgorithm of the geo-spatial environment may generate an onlinetransaction associated with payment of postage and/or a service paymentalgorithm of the geo-spatial environment may generate an onlinetransaction associated with payment of services related to mailing thecommunication. A location algorithm may select the location. Thelocation may be selected from a group including: a street address, acity, a county, a state, and/or a country.

A radius algorithm may determine a radius based on the location and todisplay the at least a portion of the user profiles having verifiedgeographic locations included in the radius. A demographic algorithm mayprovide demographics associated with the user profiles, selectdemographic of the demographics, and/or determine a group of userprofiles of the at least a portion of the user profiles. Thedemographics may be associated with each user profiles of the group ofuser profiles. The demographic may be selected from a group including anage, an age range, a gender, an occupation, an ethnicity, a location ofa residence, a location of a business, a marital status, an ownershipstatus, a language, mobility, income, a life cycle, a socioeconomicstatus, and a lifestyle.

A scheduler algorithm may schedule the mailing. The schedule may bebased on a selected number of mailings per a predetermined time period.A document creation algorithm may enable creation of a document. Aletter creation algorithm may enable creation of letters and/or amarketing brochure creation algorithm may enable creation of marketingbrochures. The mail mode may be selected from a group including aphysical mail mode, a facsimile mode, an email mode, and/or an instantmessage mode. The contact address may be selected from a group includinga physical mailing address associated with the verified geographiclocation of the user profile, a facsimile number, an email address,and/or an instant message user identifier.

In yet another aspect, a geo-spatial environment includes a firstinstruction set to enable, using a processor and a memory, a communitynetwork to include a map database associated with map data and a userdatabase associated with user profiles, each user profile of the userprofiles associated with a verified geographic location identifiable inthe map data and a contact address. The geo-spatial environment includesa second instruction set integrated with the first instruction set todisplay a map view, embodied by the community network, to includerepresentations of a portion of the user profiles. Each representationof a user profile of the portion of the user profiles is displayed at alocation in the map view corresponding to the verified geographiclocation associated with the user profile. The geo-spatial environmentalso includes a third instruction set integrated with the firstinstruction set and the second instruction set to determine a seconduser profile of the portion of the user profiles, a communication, and amail mode. The geo-spatial environment further includes a fourthinstruction set integrated with the first instruction set and the secondinstruction set and the third instruction set to generate a mailing ofthe communication, in a format associated with the mail mode, to thecontact address associated with the second user profile of the userprofiles, wherein the contact address is based on the mail mode.

A fifth instruction set may generate a commerce transaction associatedwith the mailing of the communication. A sixth instruction set mayschedule the mailing of the communication. A seventh instruction set mayenable creation of the communication.

The methods, systems, and apparatuses disclosed herein may beimplemented in any means for achieving various aspects, and may beexecuted in a form of a machine-readable medium embodying a set ofinstructions that, when executed by a machine, cause the machine toperform any of the operations disclosed herein. Other features will beapparent from the accompanying drawings and from the detaileddescription that follows.

BRIEF DESCRIPTION OF THE DRAWINGS

Example embodiments are illustrated by way of example and not limitationin the figures of the accompanying drawings, in which like referencesindicate similar elements and in which:

FIG. 1 is a system view of a geo-spatial environment communicating withusers through a network, according to one embodiment.

FIG. 2 is an exploded view of the community network algorithm of FIG. 1,according to one embodiment.

FIG. 3 is an exploded view of the additional algorithms of FIG. 1,according to one embodiment.

FIG. 4 is schematic representation of data communication between thefirst user and the contact address associated with the second userprofile, according to one embodiment.

FIG. 5 is a user interface view of Pizza Heaven's profile, according toone embodiment.

FIG. 6 is a user interface view of my mailing menu, according to oneembodiment.

FIG. 7 is a user interface view of the marketing brochure creationalgorithm of FIG. 3, according to one embodiment.

FIG. 8 is a user interface view of the recipient algorithm of FIG. 1,according to one embodiment.

FIG. 9 is a user interface view of selecting matching recipients formailing of communication, according to one embodiment.

FIG. 10 is a user interface view of scheduling, sending mails and makingtransactions associated with payment of services related to the mailingof the communication, according to one embodiment.

FIG. 11 is a table view showing details of the mailing of thecommunication associated with the users, according to one embodiment.

FIG. 12 is a diagrammatic system view of a data processing system inwhich any of the embodiments disclosed herein may be performed,according to one embodiment.

FIG. 13A is a process flow of direct mailing based on selection ofmailing modes, according to one embodiment.

FIG. 13B is a continuation of the process flow of FIG. 13A illustratingadditional processes, according to one embodiment.

FIG. 13C is a continuation of the process flow of FIG. 13B illustratingadditional processes, according to one embodiment.

FIG. 13D is a continuation of the process flow of FIG. 13C illustratingadditional processes, according to one embodiment.

FIG. 14 is a user interface view of a group view associated withparticular geographical location, according to one embodiment.

FIG. 15 is a user interface view of claim view, according to oneembodiment.

FIG. 16 is a user interface view of a building builder, according to oneembodiment.

FIG. 17 is a systematic view of communication of claimable data,according to one embodiment.

FIG. 18 is a systematic view of a network view, according to oneembodiment.

FIG. 19 is a block diagram of a database, according to one embodiment.

FIG. 20 is an exemplary graphical user interface view for datacollection, according to one embodiment.

FIG. 21 is an exemplary graphical user interface view of imagecollection, according to one embodiment.

FIG. 22 is an exemplary graphical user interface view of an invitation,according to one embodiment.

FIG. 23 is a flowchart of inviting the invitee(s) by the registereduser, notifying the registered user upon the acceptance of theinvitation by the invitee(s) and, processing and storing the input dataassociated with the user in the database, according to one embodiment.

FIG. 24 is a flowchart of adding the neighbor to the queue, according toone embodiment.

FIG. 25 is a flowchart of communicating brief profiles of the registeredusers, processing a hyperlink selection from the verified registereduser and calculating and ensuring the Nmax degree of separation of theregistered users away from verified registered users, according to oneembodiment.

FIG. 26 is an N degree separation view, according to one embodiment.

FIG. 27 is a user interface view showing a map, according to oneembodiment.

FIG. 28A is a process flow chart of searching a map based community andneighborhood contribution, according to one embodiment.

FIG. 28B is a continuation of process flow of FIG. 28A showingadditional processes, according to one embodiment.

FIG. 28C is a continuation of process flow of FIG. 28B showingadditional processes, according to one embodiment.

FIG. 28D is a continuation of process flow of FIG. 28C showingadditional processes, according to one embodiment.

FIG. 28E is a continuation of process flow of FIG. 28D showingadditional processes, according to one embodiment.

FIG. 29 is a system view of a global neighborhood environment 1800communicating with the neighborhood(s) through a network, anadvertiser(s), a global map data and an occupant data according to oneembodiment.

FIG. 30 is an exploded view of a social community algorithm of FIG. 29,according to one embodiment.

FIG. 31 is an exploded view of a search algorithm of FIG. 29, accordingto one embodiment.

FIG. 32 is an exploded view of a claimable algorithm of FIG. 29,according to one embodiment.

FIG. 33 is an exploded view of a commerce algorithm of FIG. 29,according to one embodiment.

FIG. 34 is an exploded view of a map algorithm of FIG. 29, according toone embodiment.

FIG. 35 is a table view of user address details, according to oneembodiment.

FIG. 36 is a social community view of a social community algorithm,according to one embodiment.

FIG. 37 is a profile view of a profile algorithm, according to oneembodiment.

FIG. 38 is a contribute view of a neighborhood network algorithm,according to one embodiment.

FIG. 39 is a diagrammatic system view of a data processing system inwhich any of the embodiments disclosed herein may be performed,according to one embodiment.

FIG. 40A is a user interface view of mapping user profile of thegeographical location, according to one embodiment.

FIG. 40B is a user interface view of mapping of the claimable profile,according to one embodiment.

FIG. 41A is a user interface view of mapping of a claimable profile ofthe commercial user, according to one embodiment.

FIG. 41B is a user interface view of mapping of customizable businessprofile of the commercial user, according to one embodiment.

Other features of the present embodiments will be apparent from theaccompanying drawings and from the detailed description that follows.

DETAILED DESCRIPTION

A method and system of direct mailing in a geo-spatial environment aredisclosed. In the following description, for the purposes ofexplanation, numerous specific details are set forth in order to providea thorough understanding of the various embodiments. It will be evident,however to one skilled in the art that the various embodiments may bepracticed without these specific details.

In one embodiment, a method includes generating a community network(e.g., the community network 200 of FIG. 2) of user profiles (e.g., theuser profiles 204 of FIG. 2), each user profile 204 associated with averified geographic location (e.g., the verified geographic location 206of FIG. 2) and a contact address (e.g., the contact address 210, of FIG.2), associating a first user (e.g., of the users 102 of FIG. 1) with afirst user profile 204, and selecting a mail mode (e.g., the mail mode402 of FIG. 4), selecting a communication (e.g., the communication 404of FIG. 4).

The method also includes generating a first display view to include amap view (e.g., the map view 406 of FIG. 4) embodied by the communitynetwork 200, a portion of the user profiles 204 represented at alocation in the map view 406 associated with the specific geographiclocation 206 of the first user profile 204, selecting a second userprofile 204A from the portion of the user profiles 204, and generating amailing of the communication 404, in a format associated with the mailmode 402, between the first user profile 204 and the contact address 210(e.g., the contact address 210 may be based on the mail mode 402)associated with the second user profile 204A.

In another embodiment, a system includes a geo-spatial environment(e.g., the geo-spatial environment 100 of FIG. 1), a community networkalgorithm (e.g., the community network algorithm 106 of FIG. 1) of thegeo-spatial environment 100, to include user profiles 204, each userprofile 204 to include a verified geographic location 206 and a contactaddress 210, a map algorithm (e.g., the map algorithm 108 of FIG. 1) ofthe geo-spatial environment 100 to include map data (e.g., the map data122 of FIG. 1) which serves as a basis to render a map view 406 in thegeo-spatial environment 100 which identifies residences, businesses,and/or civic structures having verified geographic locations 206, a mailmode algorithm (e.g., the mail mode algorithm 112 of FIG. 1) of thegeo-spatial environment 100 to determine a mail mode 402, and acommunication algorithm (e.g., the communication algorithm 110 ofFIG. 1) of the geospatial environment 100 to select a communication(e.g., the communication 404 of FIG. 4).

The system also includes a display algorithm (e.g., the displayalgorithm 114 of FIG. 1) of the geo-spatial environment 100 to generatea first display view to include a map view 406 embodied by a communitynetwork 200, a portion of the user profiles 204 represented at locationsin the map view 406 associated with the verified geographic locations206 of the portion of the user profiles 204, a recipient algorithm(e.g., the recipient algorithm 116 of FIG. 1) of the geo-spatialenvironment 100 to select a user profile 204 from the portion of theuser profiles 204, and a mail communication algorithm (e.g., the mailcommunication algorithm 118 of FIG. 1) of the geo-spatial environment100 to generate a mailing of the communication 404, in a formatassociated with the mail mode 402, to a contact address 210 associatedwith the user profile 204.

In yet another embodiment, a geo-spatial environment 100 includes afirst instruction set to enable a community network (e.g., the communitynetwork 200 of FIG. 2), to include a map database (e.g., the mapdatabase 208 of FIG. 2) associated with the map data 122 and a userdatabase (e.g., the user database 202 of FIG. 2) associated with userprofiles 204, each user profile 204 associated with a specificgeographic location (e.g., the verified geographic location 206 of FIG.2) identifiable in the map data 122 and a contact address (e.g., thecontact address 210 of FIG. 2), and a second instruction set integratedwith the first instruction set to display a map view 406, embodied bythe community network 200, to include representations of a portion ofthe user profiles 204 (e.g., each representation of the user profile 204may be displayed at a location in the map view 406 corresponding to theverified geographic location 206 associated with the user profile 204).

The geo-spatial environment 100 also includes a third instruction setintegrated with the first instruction set and the second instruction setto determine a second user profile 204A of the portion of the userprofiles 204, a communication (e.g., the communication 404 of FIG. 4),and a mail mode (e.g., the mail mode 402 of FIG. 4), and a fourthinstruction set integrated with the first instruction set, the secondinstruction set and the third instruction set to generate a mailing ofthe communication 404, in a format associated with the mail mode 402, tothe contact address 210 (e.g., the contact address 210 may be based onthe mail mode 402) associated with the second user profile 204A.

FIG. 1 is a system view of a geo-spatial environment 100 communicatingwith users 102 through a network 104, according to one embodiment.Particularly, FIG. 1 illustrates the geo-spatial environment 100, theusers 102, the network 104, a community network algorithm 106, a mapalgorithm 108, a communication algorithm 110, a mail mode algorithm 112,a display algorithm 114, a recipient algorithm 116, a mail communicationalgorithm 118, additional algorithms 120 and map data 122, according toone embodiment.

The geo-spatial environment 100 may enable the users 102 to directlymail and communicate with each other. The users 102 may be registeredand/or unregistered users associated with user profiles 204communicating through a mail mode 402 (e.g., a physical mail mode,facsimile mail mode, an email mode and/or instant message mode, etc.) inthe geo-spatial environment 100. The network 104 may facilitatecommunication between the users 102 and the geo-spatial environment 100.The community network algorithm 106 may generate a community network(e.g., the community network 200 of FIG. 2) of the user profiles 204associated with verified geographic locations 206 and contact addresses210 in the geo-spatial environment 100.

The map algorithm 108 may generate a map view (e.g., the map view 406 ofFIG. 4) that renders the verified geographic location(s) 206 of the userprofile(s) 204 (e.g., the location may be associated with the first userprofile 204 and the second user profile 204A) associated with thecommunication 404 adjacent to the other profiles 204 using the map data122 in the geo-spatial environment 100.

The communication algorithm 110 may enable selection and/or generationof the communication 404 associated with a user profile 204 havingspecific geographic locations 206. The mail mode algorithm 112 maydetermine a mail mode (e.g., a physical mail mode, a facsimile mode, anemail mode, an instant message mode, etc.) for mailing of thecommunication 404 in a format associated with the mail mode 402. Thedisplay algorithm 114 may generate a first display view which includesthe map view 406 embodied by the community network 200 in thegeo-spatial environment 100. The recipient algorithm 116 may enableselection of a user profile 204 associated with the contact address 210for mailing of the communication 404 through a particular mail mode inthe geo-spatial environment 100.

The mail communication algorithm 118 may generate the mailing of thecommunication 404 between the first user profile 204 and the contactaddress 210 associated with the second user profile 204A, in a formatassociated with the mail mode 402 (e.g., the physical mail mode, thefacsimile mode, the email mode, the instant message mode, etc.). Theadditional algorithms 120 may generate additional processes to enablethe communication 404 through a mail mode 402. The map data 122 mayinclude details of maps of any region, area and/or neighborhood in thegeo-spatial environment 100 which serves as a basis to identifyresidences, businesses, and/or civic structures having verifiedgeographic locations 206 in the map view 406.

In the example embodiment illustrated in FIG. 1, the users 102communicate with the geo-spatial environment 100 through the network104. The geo-spatial environment 100 includes the community networkalgorithm 106, the map algorithm 108, the communication algorithm 110,the mail mode algorithm 112, the display algorithm 114, the recipientalgorithm 116, the mail communication algorithm 118 and the additionalalgorithms 120 communicating with each other. In addition, the mapalgorithm 108 communicates with the map data 122.

The community network algorithm 106 of the geo-spatial environment 100may include the user profiles 204, each user profile 204 to include aspecific geographic location 206 and a contact address 210. The mapalgorithm 108 of the geo-spatial environment 100 may include map data122 which serves as a basis to render the map view 406 in thegeo-spatial environment 100 which identifies the residences, thebusinesses, and/or the civic structures having specific geographiclocations 206. The mail mode algorithm 112 of the geo-spatialenvironment 100 may determine a mail mode (e.g., the mail mode 402 ofFIG. 4). The communication algorithm 110 of the geo-spatial environment100 may select a communication (e.g., the communication 404 of FIG. 4).

The display algorithm 114 of the geo-spatial environment 100 maygenerate the first display view to include the map view 406 embodied bythe community network 200, a portion of the user profiles 204represented at locations in the map view 406 associated with theverified geographic locations 206 of the portion of the user profiles204. The recipient algorithm 116 of the geo-spatial environment 100 mayselect the user profile 204 from the portion of the user profiles 204.The mail communication algorithm 118 of the geo-spatial environment 100may generate the mailing of the communication 404, in a formatassociated with the mail mode 402, to a contact address (e.g., thecontact address 210 of FIG. 2) associated with the user profile 204.

FIG. 2 is an exploded view of the community network algorithm 106 ofFIG. 1, according to one embodiment. Particularly, FIG. 2 illustratesthe map data 122, a community network 200, a user database 202, userprofiles 204, a specific geographic location 206, a map database 208 anda contact address 210, according to one embodiment.

The community network 200 may be a network of people, places and/orbusinesses in the geo-spatial environment 100 associated with the userprofiles 204, each user profile 204 having a verified geographiclocation (e.g., the specific geographic location 206 of FIG. 2) and acontact address (e.g., the contact address 210 of FIG. 2). The userdatabase 202 may include the user profiles 204 associated with thespecific geographic location 206 and the contact address 210 in thecommunity network 200. The user profiles 204 may refer to the userprofiles (e.g., including age data, interest data, occupation data,etc.) which are associated with the verified geographic location 206involved in the communication 404 through the mail mode 402.

The verified geographic location 206 may refer to the specific locationof the users 102 associated with the user profile 204. The map database208 may include the map data 122 of any area, region and/or neighborhoodof the users 102 associated with the user profiles 204. The contactaddress 210 may be a physical mailing address (e.g., associated with averified geographic location 206 of a user profile 204), a facsimilenumber, an email address, and/or an instant message user identifier usedfor the communication 404 based on the mail mode 402.

In the example embodiment illustrated in FIG. 2, the community networkalgorithm 106 includes the community network 200 including the mapdatabase 208 and the user database 202 communicating with each other. Inaddition, the user database 202 includes the user profiles 204, theverified geographic location 206 and the contact address 210, accordingto the example embodiment illustrated in FIG. 2.

The community network 200 of the user profiles 204 may be generated,each user profile 204 associated with the verified geographic location206 and the contact address 210. The contact address 210 may be selectedfrom a group including a physical mailing address associated with theverified geographic location 206 of the user profile 204, a facsimilenumber, an email address, and/or an instant message user identifier,etc. The first user 102 may be associated with a first user profile 204.The communication 404 may be created.

The geo-spatial environment 100 may include a first instruction set toenable the community network 200 that includes the map database 208associated with the map data 122 and the user database 202 associatedwith user profiles 204. Each user profile 204 may be associated with theverified geographic location 206 identifiable in the map data 122 andthe contact address 210.

FIG. 3 is an exploded view of the additional algorithms 120 of FIG. 1,according to one embodiment. Particularly, FIG. 3 illustrates a commercetransaction algorithm 302, a postage algorithm 302A, a service paymentalgorithm 302B, a location algorithm 304, a radius algorithm 306, ademographic algorithm 308, a scheduler algorithm 310, a documentcreation algorithm 312, a letter creation algorithm 312A and a marketingbrochure creation algorithm 312B, according to one embodiment.

The commerce transaction algorithm 302 may generate a commercetransaction (e.g., the commerce transaction 408 of FIG. 4) associatedwith elements related to mailing of the communication 404. The postagealgorithm 302A may generate the online transaction associated withpayment of postages. The service payment algorithm 302B may generate theonline transaction associated with payment of services related to themailing of the communication 404. The location algorithm 304 mayrepresent a location (e.g., a street address, a city, a county, a state,a country, etc.) associated with the user profile 204 in the geo-spatialenvironment (e.g., the geo-spatial environment 100 of FIG. 1).

The radius algorithm 306 may determine a radius based on the locationand/or display a portion the user profiles 204 having verifiedgeographic locations 206 within a threshold radius. The demographicalgorithm 308 may provide demographics (e.g., an age, an age range, agender, an occupation, an ethnicity, a location of a residence, alocation of a business, a martial status, an ownership status, alanguage, mobility, income, a life cycle, a socioeconomic status, alifestyle, etc.) associated with the user profiles 204, select ademographic (e.g., the demographic may be associated with each userprofile 204 of the group of user profiles 204), and/or determine a groupof user profiles 204 of the portion of the user profiles 204. Thescheduler algorithm 310 may schedule the mailing of the communication404 between the first user profile 204 and the contact address 210associated with the second user profile 204A.

The document creation algorithm 312 may generate the document associatedwith the communication 404 between the first user profile 204 andcontact address 210 of the second user profile 204A. The letter creationalgorithm 312A may enable the users 102 to create letters forcommunication 404 between the first user profile 204 and the contactaddress 210 associated with the second user profile 204A. The marketingbrochure creation algorithm 312B may enable creation of marketingbrochures (e.g., the brochures 704 of FIG. 7) in the geo-spatialenvironment (e.g., the geo-spatial environment 100 of FIG. 1).

In the example embodiment illustrated in FIG. 3, the additionalalgorithms 120 include the commerce transaction algorithm 302, thelocation algorithm 304, the radius algorithm 306, the demographicalgorithm 308, the scheduler algorithm 310 and the document creationalgorithm 312 communicating with each other. In addition, the commercetransaction algorithm 302 includes the postage algorithm 302A and theservice payment algorithm 302B. The document creation algorithm 312includes the letter creation algorithm 312A and the marketing brochurecreation algorithm 312B, according to the example embodiment illustratedin FIG. 3.

The commerce transaction algorithm 302 of the geo-spatial environment100 may generate the commerce transaction 408 associated with theelements. The postage algorithm 302A of the geo-spatial environment 100may generate an online transaction associated with payment of postage.The service payment algorithm 302B of the geospatial environment 100 maygenerate an online transaction associated with payment of servicesrelated to mailing the communication 404. The location algorithm 304 mayselect the location (e.g., a street address, a city, a county, a stateand/or a country, etc.) associated with the user profile 204.

The radius algorithm 306 may determine a radius based on the locationand/or display a portion of the user profiles 204 having verifiedgeographic locations 206 of FIG. 2) included in the radius. Thedemographic algorithm 308 may provide demographics (e.g., age, agerange, gender, occupation, ethnicity, location of a residence, locationof a business, marital status, ownership status, language, mobility,income, life cycle, socioeconomic status, and/or lifestyle, etc.)associated with the user profiles 204, to select demographic (e.g., maybe associated with each user profile 204), and/or determine a group ofuser profiles 204. The scheduler algorithm 310 may schedule (e.g., basedon a selected number of mailings per a predetermined time period) themailing. The document creation algorithm 312 may enable creation of adocument. The letter creation algorithm 312A may enable creation ofletters. The marketing brochure creation algorithm 312B may enablecreation of marketing brochures (e.g., the brochures 704 of FIG. 7).

FIG. 4 is a schematic representation of data communication between thefirst user 102 and the contact address 210 associated with the seconduser profile 204A, according to one embodiment. Particularly, FIG. 4illustrates the network 104, the map data 122, the community network200, the user database 202, the user profiles 204, the second userprofile 204A, the contact address 210, a mail mode 402, a communication404, a map view 406 and a commerce transaction 408, according to oneembodiment.

The mail mode 402 may enable mailing of the communication 404 betweenthe first user 102 associated with the first user profile 204 and thecontact address 210 of the second user 102 associated with the seconduser profile 204A of the user profiles 204 through the mail mode 402(e.g., a physical mode, a facsimile mode, an email mode, and/or aninstant message mode, etc.). The communication 404 may be in the form ofan online document, a text, a note, a memo, a pamphlet and/or a letter,etc. The map view 406 may enable the users 102 to view neighbor'sprofiles and their contact addresses (e.g., the contact address 210 ofFIG. 2). The commerce transaction 408 may enable the users 102 toperform online transactions associated with payment of postages and/orpayment of services related to mailing of the communication 404.

In the example embodiment illustrated in FIG. 4, the map view 406 mayenable the users 102 to view their neighborhood profiles (e.g., the userprofiles 204 of FIG. 2) and/or mail of the communication 404 through themail mode 402. For example, a first user 102 associated with the firstuser profile 204 may communicate with the contact address 210 (e.g.,23232 Kettle Dr., Troy, Mich. 48084) of the second user profile 204A(e.g., Jane Doe's profile) through a physical mail mode by an onlinedocument through the network 104. In addition, the user 102 may makeonline transactions associated with payment of postages and servicesrelated to the mailing of the communication 404 through the commercetransaction option 408.

The mail mode 402 may be selected by the mail mode algorithm 112 and/orthe communication 404 may be selected by the communication algorithm110. A first display view may be generated (e.g., using the displayalgorithm 114 of FIG. 1) to include the map view 406 embodied by thecommunity network 200, a portion of the user profiles 204 represented ata location in the map view 406 associated with the verified geographiclocation 206 of the first user profile 204 of the user profiles 204. Asecond user profile 204A may be selected from the portion of the userprofiles 204 and the mailing of the communication 404 may be generated,in a format associated with the mail mode 402, between the first userprofile 204 and the contact address 210 associated with the second userprofile 204A, in which the contact address 210 is based on the mail mode402 (e.g., a physical mail mode, a facsimile mode, a email mode, and/oran instant message mode, etc.).

The physical mail mode (e.g., the mail mode 402 of FIG. 4) may beselected and the mailing of the communication 404 may be generated, in aphysical format associated with the physical mail mode, between thefirst user profile 204 and the contact address 210 (e.g., the contactaddress 210 may be based on a physical address) associated with thesecond user profile 204A. The facsimile mode may be selected and themailing of the communication 404 may be generated, in a facsimile formatassociated with the facsimile mode, between the first user profile 204and the contact address 210 (e.g., the contact address 210 may be basedon a facsimile number) associated with the second user profile 204A.

The email mode may be selected and the mailing of the communication 404may be generated, in an email format associated with the email mode,between the first user profile 204 and the contact address 210 (e.g.,the contact address 210 may be based on an email address) associatedwith the second user profile 204A. The instant message mode may beselected (e.g., using the mail mode algorithm 112 of FIG. 1). A mailingof the communication 404 may be generated, in an instant message formatassociated with the instant message mode, between the first user profile204 and the contact address 210 (e.g., the contact address 210 may bebased on an instant message user identifier) associated with the seconduser profile 204A.

The location in the map view 406 may be selected from a group includinga street address, a city, a county, a state, and/or a country, etc. Theonline commerce transaction 408 (e.g., payment of postage, payment ofservices, etc.) associated with the mailing of the communication 404 maybe generated. The geo-spatial environment (e.g., the geo-spatialenvironment 100 of FIG. 1) may include a third instruction setintegrated with the first instruction set and the second instruction setto determine a second user profile 204A of the portion of the userprofiles 204, a communication (e.g., the communication 404 of FIG. 4),and/or a mail mode (e.g., the mail mode 402 of FIG. 4).

The geo-spatial environment (e.g., the geo-spatial environment 100 ofFIG. 1) may include a fourth instruction set integrated with the firstinstruction set, the second instruction set and the third instructionset to generate a mailing of the communication 404, in a formatassociated with the mail mode 402, to the contact address 210 associatedwith the second user profile 204A, in which the contact address 210 isbased on the mail mode 402. A fifth instruction set may generate acommerce transaction 408 associated with the mailing of thecommunication 404. A seventh instruction set may enable creation of thecommunication 404.

FIG. 5 is a user interface view 500 of Pizza Heaven's profile, accordingto one embodiment. Particularly, FIG. 5 illustrates a profile menuoption 502, editable profiles 504, content 506, representations of userprofiles 508 and a mailing option 510, according to one embodiment.

The profile menu option 502 may enable a user (e.g., the users 102 ofFIG. 1) to view his/her pages, photos, friends and/or neighborhood. Theeditable profiles 504 may display profile information of the users 102associated with a particular group in the map view 406. The contentoption 506 may provide information of the users 102 associated with theeditable profile 504 in his/her neighborhood. The representations ofuser profiles 508 may display profiles associated with the users 102 onthe map view 406. The mailing option 510 may enable the users 102 togenerate the mailing of the communication 404 through different mailmodes (e.g., the mail mode 402 of FIG. 4).

In the example embodiment illustrated in FIG. 5, the user interface view500 displays editable profiles 504, the verified geographic location 206associated with the user profile 204 involved in communication 404 andthe representation of other profiles 204 in the map view 406. The userinterface view 500 may enable the user 102 (e.g., Pizza Heaven) to viewand/or edit content 506 in the profile 204, pages, photos, etc. usingprofile menu option 502.

FIG. 6 is a user interface view 600 of a my mailing option 602,according to one embodiment. Particularly, FIG. 6 illustrates the mailmodes 402, the map view 406, the editable profiles 504, the content 506,the representations of user profiles 508 and a my mailing menu option602, according to one embodiment. The my mailing menu option 602 mayenable the users 102 to send/receive mails by selecting mail modes 402(e.g., a physical mail mode, a facsimile mode, an email mode, an instantmessage, etc.). The my mailing menu option 602 may enable the users 102to create documents, letters and/or marketing brochures (e.g., thebrochures 704 of FIG. 7) associated with mailing of the communication404 through mail modes (e.g., the mail mode 402 of FIG. 4).

In the example embodiment illustrated in FIG. 6, the user interface view600 may enable the user 102 (e.g., Pizza Heaven) to send/receive mailsthrough the selected mail modes 402. In addition, the user 102 maycreate a document (e.g., letter, marketing brochure, etc.), pay forpostages, make payment of services related to the mailing of thecommunication 404 and/or schedule a mail to be sent to the recipientsthrough a pay, schedule and mail link. The user interface view 600 mayalso enable the users 102 to select the desired recipients involved inthe mailing of the communication 404 through a select recipient link ofthe my mailing menu option 602. In addition, the user interface view 600displays the map view 406 which represents the editable profiles 504and/or the representations of user profiles 508.

FIG. 7 is a user interface view 700 of the marketing brochure creationalgorithm 312B of FIG. 3, according to one embodiment. Particularly,FIG. 7 illustrates a create a marketing brochure menu option 702 and abrochure 704, according to one embodiment. The create a marketingbrochure menu option 702 may enable the users 102 to create a brochure704 by selecting features (e.g., color, black/white, one sided, twosided, one fold and/or two fold). The brochure 704 may displays apreview of the marketing brochure created by the users 102 using thecreate a marketing brochure menu option 702.

In the example embodiment illustrated in FIG. 7, the user interface view700 displays selected options for a color, one sided, and two foldmarketing brochure created by the user 102 (e.g., Pizza Heaven) usingthe create a marketing brochure menu option 702. The user interface view700 may enable the users 102 to select background and/or templategraphics through a select background link and/or a select templategraphics link of the create a marketing brochure menu option 702. Inaddition, the user interface view 700 may provide a preview link to viewthe preview of the brochure 704 created by Pizza Heaven. A save andreturn to mailing menu link of the create a marketing brochure menuoption 702 may enable the user 102 to save the created brochure 704 andreturn to the my mailing page. Additionally, an enter your own graphicslink and an enter text link displayed in the create a marketing brochuremenu option 702 may enable the users 102 to insert the graphics, and/orthe text.

FIG. 8 is a user interface view 800 of the recipient algorithm 116 ofFIG. 1, according to one embodiment. Particularly, FIG. 8 illustratesthe map view 406, the editable profiles 504, the content 506, therepresentations of user profiles 508, a select recipients menu option802, a location field 804, a radius field 806 and demographics option808, according to one embodiment.

The select recipients menu option 802 may enable the users 102 tocommunicate by selecting recipients having verified geographic locations206 within a radius. The location field 804 may enable the users 102 toselect the locations associated with the recipient(s) from a groupincluding a street address, a city, a county, a state and a country. Theradius field 806 may enable the users 102 to select the recipientslocated a threshold radius away from the user 102. The demographicsoption 808 may enable the users 102 to determine a group of userprofiles 204 based on age, age range, gender, occupation, ethnicity,location of a residence, location of a business, martial status,ownership status, language, mobility, income, life cycle, socioeconomicstatus, and/or lifestyle, etc. associated with the recipient(s).

In the example embodiment illustrated in FIG. 8, the user interface view800 may enable the user 102 (e.g., Pizza Heaven) to select recipientsfrom the select recipients menu option 802 based on a name, a location(e.g., San Francisco), a radius (e.g., 5 miles) and/or demographics(e.g., age, residence). In addition, the user interface view 800 mayenable the users 102 to view various demographics using a display listof demographics link of the select recipients menu option 802.

A get menu link displayed in the select recipients menu option 802facilitates the users 102 to find matching recipients by selecting thedemographics (e.g., age >12, own residence) from the demographics option808. The user interface view 800 may enable the users 102 to select thedesired recipients involved in the mailing of the communication 404through selecting the locations of the recipients displayed in the mapview 406. In addition, the user interface view 800 also displays in themap view 406, the editable profiles 504 and/or the representations ofuser profiles 508.

The radius 806 associated with a location in the map view 406 may beselected (e.g., using the radius algorithm 306 of FIG. 3), the userprofiles 204 of the portion of the user profiles 204 having verifiedgeographic locations 206 included in the radius 806 may be selected(e.g., using the location algorithm 304 of FIG. 3), and/or thedemographics 808 associated with the community network 200 may beprovided (e.g., through the demographic algorithm 308 of FIG. 3). Thedemographics 808 may be associated with each user profile 204. Ademographic 808 may be selected, and/or the user profiles 204 havingverified geographic locations 206 included in the radius 806 and havingthe demographic (e.g., age, age range, gender, occupation, ethnicity,location of a residence, location of a business, marital status,ownership status, language, mobility, income, life cycle, socioeconomicstatus, and/or lifestyle, etc.) may be selected.

The geo-spatial environment (e.g., the geo-spatial environment 100 ofFIG. 1) may include a second instruction set integrated with the firstinstruction set to display a map view 406, embodied by the communitynetwork 200, to include representations of a portion of the userprofiles 204, in which each representation of a user profile 204 isdisplayed at a location in the map view 406 corresponding to theverified geographic location 206 associated with the user profile 204.

FIG. 9 is a user interface view 900 of selecting the matching recipientsfor mailing of the communication 404, according to one embodiment.Particularly, FIG. 9 illustrates the map view 406, the editable profiles504, the content 506, the representations of user profiles 508, theradius 806 and a matching recipients menu option 902, according to oneembodiment. The matching recipients menu option 902 may enable the users102 to select the recipient(s) having matching demographic(s) (e.g., anage, a residence, and/or an age range, etc.) and located within theradius 806 associated with the geographic location specified by theusers 102.

In the example embodiment illustrated in FIG. 9, the user interface view900 displays in the map view 406, the matching recipients located withinthe radius 806 associated with the geographic location adjacent to theother user profiles 204. The matching recipients menu option 902 of userinterface view 900 displays numbers of recipients having matchingdemographic(s) 808 (e.g., age >12 and own residence, etc.) and locatedwithin the radius 806 (e.g., 5 miles) associated with the location(e.g., San Francisco, Calif.).

In addition, the user interface view 900 may enable the user 102 (e.g.,Pizza Heaven) to select all the matching recipients for mailing of thecommunication 404 using a select all matching recipients for mailinglink of the matching recipients menu option 902. (The user interfaceview 900 displays in the map view 406, the editable profiles 504, thecontent 506 associated with the editable profiles 504 and therepresentations of user profiles 508 adjacent to the profiles 204associated with the matching recipients.

FIG. 10 is a user interface view 1000 of scheduling, sending mails andmaking transactions associated with payment of services related tomailing of the communication 404, according to one embodiment.Particularly, FIG. 10 illustrates a schedule, pay, and send menu option1002, according to one embodiment. The schedule, pay, and send menuoption 1002 may enable the user 102 to schedule a time period formailing and making transactions associated with the payment of postagesand/or the payment of services related to mailing of the communication404.

In the example embodiment illustrated in FIG. 10, the user interfaceview 1000 displays the scheduled time period (e.g., per week, for aperiod of 6 months, etc.) for mailing of the communication 404 andtransaction details associated with the payment of postage and/orservices. The user interface view 1000 may enable the user 102 (e.g.,Pizza Heaven) to schedule (e.g., from January 2007 to June 2007, weekly,monthly, daily, yearly, number of times, etc.) the mailing to therecipient(s).

In addition, a pay using online payment system link of the schedule,pay, and send menu option 1002 may enable the user 102 to make onlinetransactions associated with the payment of postages and/or services.The users 102 may make online payment of postages (e.g., @ $0.30 perrecipient for a total of 26 matching recipients) and/or payment ofservices (e.g., @ $50.00) related to the mailing of the communication404 to the recipients. The users 102 may send any number of mailings pera predetermined time period (e.g., per day, week, month and/or year).

The user 102 (e.g., Pizza Heaven) may send mails to the recipients uponreceiving a transaction confirmation number (e.g., 23923235) associatedwith confirmation of payment. The user interface view 1000 also displaysdelivery status of the mailings to the recipients in the schedule, pay,and send menu option 1002. A return to profile option may enable theusers 102 to revisit the profile 204 associated with the user 102. Themailing of the communication 404 may be scheduled (e.g., by determininga number of mailings, a time period and/or generating the number ofmailings within the time period). The geo-spatial environment (e.g., thegeo-spatial environment 100 of FIG. 1) may include a sixth instructionset to schedule the mailing of the communication 404.

FIG. 11 is a table view 1100 showing details of mailing of thecommunication 404 associated with the users 102, according to oneembodiment. Particularly, FIG. 11 illustrates a users field 1102, amailing scheduled field 1104, a total recipients field 1106, ademographics field 1108 and an online payment field 1110, according toone embodiment.

The users field 1102 may display the names of users (e.g., the users 102of FIG. 1) associated with the mailing of the communication 404 throughthe mail mode 402. The mailing scheduled field 1104 may display thenumber of mailings scheduled within a time period by a particular user102. The total recipients field 1106 may display total number ofrecipients scheduled to be mailed by the users 102. The demographicsfield 1108 may display the status of the demographics (e.g., thedemographics 808 of FIG. 8) associated with the user 102. The onlinepayment field 1110 may display an online transaction status associatedwith the payment of postages and/or services related to mailing thecommunication 404.

In the example embodiment illustrated in FIG. 11, the users field 1102displays “Pizza Heaven” in the first row, “Jane Doe” in the second rowand “Harry Cary” in the third row of the users field 1102 column. Themailing scheduled field 1104 displays “7” in the first row, “0” in thesecond row, and “1” in the third row of the mailing scheduled field 1104column (e.g., 7 mailings scheduled by Pizza Heaven, no mailingsscheduled by Jane Doe and 1 mailing scheduled by Harry Cary). The totalrecipients field 1106 displays “26” recipients for Pizza Heaven in thefirst row, “0” recipients for Jane Doe in the second row and “250”recipients for Harry Cary in the third row of the total recipients field1106 column. The demographics field 1108 displays “Yes” in the firstrow, “No7” in the second row and “No” in the third row of thedemographics field 1108 column (e.g., Pizza Heaven has demographicswhile Jane Doe and Harry Cary do not have demographics). The onlinepayment field 1110 displays “Yes” in the first row, “No” in the secondrow and “Yes” in the third row of the online payment field 1110 column(e.g., Pizza Heaven and Harry Cary make online payments and Jane Doedoes not make online payments).

FIG. 12 is a diagrammatic system view 1200 of a data processing systemin which any of the embodiments disclosed herein may be performed,according to one embodiment. Particularly, the system view 1200 of FIG.12 illustrates a processor 1202, a main memory 1204, a static memory1206, a bus 1208, a video display 1210, an alpha-numeric input device1212, a cursor control device 1214, a drive unit 1216, a signalgeneration device 1218, a network interface device 1220, a machinereadable medium 1222, instructions 1224 and a network 1226, according toone embodiment.

The diagrammatic system view 1200 may indicate a personal computerand/or a data processing system in which one or more operationsdisclosed herein may be performed. The processor 1202 may be amicroprocessor, a state machine, an application-specific integratedcircuit, a field programmable gate array, etc. (e.g., Intel@ Pentium®processor). The main memory 1204 may be a dynamic random access memoryand/or a primary memory of a computer system. The static memory 1206 maybe a hard drive, a flash drive, and/or other memory informationassociated with the data processing system.

The bus 1208 may be an interconnection between various circuits and/orstructures of the data processing system. The video display 1210 mayprovide graphical representation of information on the data processingsystem. The alpha-numeric input device 1212 may be a keypad, a keyboardand/or any other input device of text (e.g., a special device to aid thephysically challenged). The cursor control device 1214 may be a pointingdevice such as a mouse.

The drive unit 1216 may be the hard drive, a storage system, and/orother longer term storage subsystem. The signal generation device 1218may be a bios and/or a functional operating system of the dataprocessing system. The network interface device 1220 may be a devicethat may perform interface functions such as code conversion, protocolconversion and/or buffering required for communication to and from thenetwork 1226. The machine readable medium 1222 may provide instructionson which any of the methods disclosed herein may be performed. Theinstructions 1224 may provide source code and/or data code to theprocessor 1202 to enable any one/or more operations disclosed herein.

FIG. 13A is a process flow of direct mailing based on the selection ofmailing modes, according to one embodiment. In operation 1302, acommunity network (e.g., the community network 200 of FIG. 2) of userprofiles (e.g., the user profiles 204 of FIG. 2) may be generated (e.g.,using the community network algorithm 106 of FIG. 1), each user profile204 associated with a verified geographic location (e.g., the specificgeographic location 206 of FIG. 2) and/or a contact address (e.g., thecontact address 210 of FIG. 2). In operation 1304, a first user 102 maybe associated with a first user profile 204. In operation 1306, a mailmode 402 may be selected (e.g., using the mail mode algorithm 112 ofFIG. 1). In operation 1308, a communication (e.g., the communication 404of FIG. 4) may be selected (e.g., through the communication algorithm110 of FIG. 1).

In operation 1310, a first display view may be generated (e.g., throughthe display algorithm 114 of FIG. 1), to include a map view (e.g., themap view 406 of FIG. 4) embodied by the community network 200, a portionof the user profiles 204 represented at a location in the map view 406associated with the verified geographic location 206 of the first userprofile 204. In operation 1312, a second user profile 204A may beselected from the portion of the user profiles 204. In operation 1314, amailing of the communication 404 may be generated (e.g., using the mailcommunication algorithm 118 of FIG. 1), in a format associated with themail mode 402, between the first user profile 204 and the contactaddress 210 associated with the second user profile 204A.

FIG. 13B is a continuation of the process flow of FIG. 13A illustratingadditional processes, according to one embodiment. In operation 1316,the physical mail mode (e.g., the mail mode 402 of FIG. 4) may beselected (e.g., using the mail mode algorithm 112 of FIG. 1). Inoperation 1318, the mailing of the communication 404 may be generated(e.g., using the mail communication algorithm 118 of FIG. 1), in aphysical format associated with the physical mail mode, between thefirst user profile 204 and the contact address 210 associated with thesecond user profile 204A.

In operation 1320, a facsimile mode may be selected (e.g., through themail mode algorithm 112 of FIG. 1). In operation 1322, a mailing of thecommunication 404 may be generated (e.g., using the mail communicationalgorithm 118 of FIG. 1), in a facsimile format associated with thefacsimile mode, between the first user profile 204 and the contactaddress 210 associated with the second user profile 204A. In operation1324, an email mode may be selected (e.g., using the mail mode algorithm112 of FIG. 1). In operation 1326, the mailing of the communication maybe generated (e.g., through the mail communication algorithm 118 of FIG.1), in an email format associated with the email mode, between the firstuser profile 204 and the contact address 210 associated with the seconduser profile 204A. In operation 1328, an instant message mode may beselected (e.g., through the mail mode algorithm 112 of FIG. 1).

FIG. 13C is a continuation of the process flow of FIG. 13B illustratingadditional processes, according to one embodiment. In operation 1330,the mailing of the communication (e.g., the communication 404 of FIG. 4)may be generated (e.g., using the mail communication algorithm 118 ofFIG. 1), in an instant message format associated with the instantmessage mode, between the first user profile 204 and the contact address210 associated with the second user profile 204A. In operation 1332, thelocation in the map view 406 may be selected (e.g., using the locationalgorithm 304 of FIG. 3) from a group including a street address, acity, a county, a state, and/or a country, etc.

In operation 1334, a radius (e.g., the radius 806 of FIG. 8) associatedwith the location in the map view 406 may be selected (e.g., using theradius algorithm 306 of FIG. 3). In operation 1336, the user profiles204 having specific geographic locations 206 included in the radius 806may be selected (e.g., using the recipient algorithm 116 of FIG. 1). Inoperation 1338, demographics associated with the community network 200may be provided (e.g., through the demographic algorithm 308 of FIG. 3).In operation 1340, the demographics 808 may be associated with each userprofile 204. In operation 1342, a demographic 808 may be selected (e.g.,using the demographic algorithm 308 of FIG. 3).

FIG. 13D is a continuation of the process flow of FIG. 13C, illustratingadditional processes, according to one embodiment. In operation 1344,the user profiles 204 having the verified geographic locations 206included in the radius 806 and having the demographic 808 may beselected (e.g., using the recipient algorithm 116 of FIG. 1). Inoperation 1346, an online commerce transaction (e.g., the commercetransaction 408 of FIG. 4) associated with the mailing of thecommunication (e.g., the communication 404 of FIG. 4) may be generated(e.g., through commerce transaction algorithm 302 of FIG. 2). Inoperation 1348, the mailing of the communication 404 may be scheduled(e.g., using the scheduler algorithm 310 of FIG. 3). In operation 1350,the communication 404 may be created (e.g., using document creationalgorithm 312 of FIG. 3).

Although the present embodiments have been described with reference tospecific example embodiments, it will be evident that variousmodifications and changes may be made to these embodiments withoutdeparting from the broader spirit and scope of the various embodiments.For example, the various devices, algorithms, analyzers, generators,etc. described herein may be enabled and operated using hardwarecircuitry (e.g., CMOS based logic circuitry), firmware, software and/orany combination of hardware, firmware, and/or software (e.g., embodiedin a machine readable medium).

For example, the various electrical structure and methods may beembodied using transistors, logic gates, and electrical circuits (e.g.,Application Specific Integrated Circuitry (ASIC) and/or in DigitalSignal Processor (DSP) circuitry). For example, the community networkalgorithm 106, the map algorithm 108, the communication algorithm 110,the mail mode algorithm 112, the display algorithm 114, the recipientalgorithm 116, the mail communication algorithm 118, the additionalalgorithms 120, the commerce transaction algorithm 302, the postagealgorithm 302A, the service payment algorithm 302B, the locationalgorithm 304, the radius algorithm 306, the demographic algorithm 308,the scheduler algorithm 310, the document creation algorithm 312, theletter creation algorithm 312A, the marketing brochure creationalgorithm 312B, and other algorithms of FIGS. 1-13 may be enabled usinga community network circuit, a map circuit, a communication circuit, amail mode circuit, a display circuit, a recipient circuit, a mailcommunication circuit, additional circuits, a commerce transactioncircuit, a postage circuit, a service payment circuit, a locationcircuit, a radius circuit, a demographic circuit, a scheduler circuit, adocument creation circuit, a letter creation circuit, a marketingbrochure creation circuit, and other circuits using one or more of thetechnologies described herein.

In addition, it will be appreciated that the various operations,processes, and methods disclosed herein may be embodied in amachine-readable medium and/or a machine accessible medium compatiblewith a data processing system (e.g., a computer system), and may beperformed in any order. Accordingly, the specification and drawings areto be regarded in an illustrative rather than a restrictive sense.

FIG. 14 is a user interface view of a group view 1402 associated withparticular geographical location, according to one embodiment.Particularly FIG. 14 illustrates, a map 1400, a groups view 1402,according to one embodiment. In the example embodiment illustrated inFIG. 14, the map view 1400 may display map view of the geographicallocation of the specific group of the global neighborhood environment1800 (e.g., the privacy server 2900 of FIG. 29). The groups view 1402may contain the information (e.g., address, occupant, etc.) associatedwith the particular group of the specific geographical location (e.g.,the geographical location displayed in the map 1400) of the globalneighborhood environment 1800 (e.g., the privacy server 2900 of FIG.29). The members 1404 may contain the information about the membersassociated with the group (e.g., the group associated with geographicallocation displayed in the map) of the global neighborhood environment1800 (e.g., the privacy server 2900 of FIG. 29).

FIG. 15 is a user interface view of claim view 1550, according to oneembodiment. The claim view 1550 may enable the user to claim thegeographical location of the registered user. Also, the claim view 1550may facilitate the user of the global neighborhood environment 1800(e.g., the privacy server 2900 of FIG. 29) to claim the geographicallocation of property under dispute.

In the example embodiment illustrated in FIG. 15, the operation 1502 mayallow the registered user of the global neighborhood environment 1800(e.g., the privacy server 2900 of FIG. 29) to claim the address of thegeographic location claimed by the registered user. The operation 1504illustrated in example embodiment of FIG. 15, may enable the user todelist the claim of the geographical location. The operation 1506 mayoffer information associated with the document to be submitted by theregistered users of the global neighborhood environment 1800 (e.g., theprivacy server 2900 of FIG. 29) to claim the geographical location.

FIG. 16 is a user interface view of a building builder 1602, accordingto one embodiment. Particularly the FIG. 16 illustrates, a map 1600, abuilding builder 1602, according to one embodiment. The map 1600 maydisplay the geographical location in which the verified registered user(e.g., the verified registered user 4110 of FIG. 41A-B) may createand/or modify empty claimable profiles (e.g., the claimable profile 4006of FIG. 40B-41A (e.g., the editable profile 504 of FIG. 5), theclaimable profile 4102 of FIG. 41A, the claimable profile 1704 of FIG.17), building layouts, social network pages, and floor levels structureshousing residents and businesses in the neighborhood (e.g., theneighborhood 2902A-N of FIG. 29). The building builder 1602 may enablethe verified registered users (e.g., the verified registered user 4110of FIG. 41A-B) of the global neighborhood environment 1800 (e.g., theprivacy server 2900 of FIG. 29) to draw floor level structures, addneighbor's profiles and/or may also enable to select the floor number,claimable type, etc. as illustrated in example embodiment of FIG. 16.

The verified registered user 4110 may be verified registered user of theglobal neighborhood environment 1800 (e.g., the privacy server 2900 ofFIG. 29) interested in creating and/or modifying claimable profiles(e.g., the claimable profile 4006 of FIG. 40B-41A, the claimable profile4102 of FIG. 41A, the claimable profile 1704 of FIG. 17), buildinglayouts, social network pages, and floor level structure housingresidents and businesses in the neighborhood (e.g., the neighborhood2902A-N of FIG. 29) in the building builder 1602.

For example, a social community algorithm (e.g., a social communityalgorithm 2906 of FIG. 29) of the global neighborhood environment 1800(e.g., the privacy server 2900 of FIG. 29) may generate a buildingcreator (e.g., the building builder 1602 of FIG. 16) in which theregistered users may create and/or modify empty claimable profiles(e.g., the claimable profile 4006 of FIG. 40B-41A, the claimable profile4102 of FIG. 41A, the claimable profile 1704 of FIG. 17), buildinglayouts, social network pages, and floor levels structures housingresidents and/or businesses in the neighborhood (e.g., the neighborhood2902A-N of FIG. 29).

FIG. 17 is a systematic view of communication of claimable data,according to one embodiment. Particularly FIG. 17 illustrates a map1701, verified user profile 1702, choices 1708 and a new claimable page1706, according to one embodiment. The map 1701 may locate the detailsof the address of the registered user of the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29). Theverified user profile 1702 may store the profiles of the verified userof the global neighborhood environment 1800 (e.g., the privacy server2900 of FIG. 29. The claimable profile 1704 may be the profiles of theregistered user who may claim them in the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29).

In operation 1700 the search for the user profile (e.g., the userprofile 29200 of FIG. 40A) is been carried whom the registered user maybe searching. The new claimable page 1706 may solicit for the details ofa user whom the registered user is searching for in the globalneighborhood environment 1800 (e.g., the privacy server 2900 of FIG.29). The choices 1708 may ask whether the requested search is any amongthe displayed names. The new claimable page 1706 may request for thedetails of location such as country, state and/or city. The operation1700 may communicate with the choices 1708, and the new claimable page1706.

For example, a no-match algorithm (e.g., a no-match algorithm 3112 ofFIG. 31) of the search algorithm (e.g., the search algorithm 2908 ofFIG. 29) to request additional information from the verified registereduser about a person, place, and business having no listing in the globalneighborhood environment 1800 (e.g., the privacy server 2900 of FIG. 29)when no matches are found in a search query of the verified registereduser (e.g., the verified registered user 4110 of FIGS. 41A-B), and tocreate a new claimable page 1706 based on a response of the verifiedregistered user 1702 about the at least one person, place, and businessnot previously indexed in the global neighborhood environment 1800(e.g., the privacy server 2900 of FIG. 29).

FIG. 18 is a systematic view of a network view 1850, according to oneembodiment. Particularly it may include a GUI display 1802, a GUIdisplay 1804, device 1806, a device 1808, a network 1810, a router 1812,a switch 1814, a firewall 1816, a load balancer 1818, an applicationserver #3 1820, an application server #2 1822, an application server #11824, a web application server 1826, an inter-process communication1828, a computer server 1830, an image server 1832, a multiple servers1834, a switch 1836, a database storage 1838, database software 1840 anda mail server 1842, according to one embodiment.

The GUI display 1802 and GUI display 1804 may display particular case ofuser interface for interacting with a device capable of representingdata (e.g., computer, cellular telephones, television sets etc.) whichemploys graphical images and widgets in addition to text to representthe information and actions available to the user (e.g., the user 2916of FIG. 29). The device 1806 and device 1808 may be any device capableof presenting data (e.g., computer, cellular telephones, television setsetc.). The network 1810 may be any collection of networks (e.g.,internet, private networks, university social system, private network ofa company etc.) that may transfer any data to the user (e.g., the user2916 of FIG. 29) and the global neighborhood environment 1800 (e.g., theprivacy server 2900 of FIG. 29).

The router 1812 may forward packets between networks and/or informationpackets between the global neighborhood environment 1800 (e.g., theprivacy server 2900 of FIG. 29) and registered user over the network(e.g., internet). The switch 1814 may act as a gatekeeper to and fromthe network (e.g., internet) and the device. The firewall 1816 mayprovides protection (e.g., permit, deny or proxy data connections) fromunauthorized access to the global neighborhood environment 1800 (e.g.,the privacy server 2900 of FIG. 29. The load balancer 1818 may balancethe traffic load across multiple mirrored servers in the globalneighborhood environment 1800 (e.g., the privacy server 2900 of FIG. 29)and may be used to increase the capacity of a server farm beyond that ofa single server and/or may allow the service to continue even in theface of server down time due to server failure and/or servermaintenance.

The application server #2 1822 may be server computer on a computernetwork dedicated to running certain software applications of the globalneighborhood environment 1800 (e.g., the privacy server 2900 of FIG.29). The web application server 1826 may be server holding all the webpages associated with the global neighborhood environment 1800 (e.g.,the privacy server 2900 of FIG. 29). The inter-process communication1828 may be set of rules for organizing and un-organizing factors andresults regarding the global neighborhood environment 1800 (e.g., theprivacy server 2900 of FIG. 29). The computer server 1830 may serve asthe application layer in the multiple servers of the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29) and/or mayinclude a central processing unit (CPU), a random access memory (RAM)temporary storage of information, and/or a read only memory (ROM) forpermanent storage of information regarding the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29).

The image server 1832 may store and provide digital images of theregistered user of the global neighborhood environment 1800 (e.g., theprivacy server 2900 of FIG. 29). The multiple servers 1834 may bemultiple computers or devices on a network that may manage networkresources connecting the registered user and the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29). Thedatabase storage 1838 may store software, descriptive data, digitalimages, system data and any other data item that may be related to theuser (e.g., the user 2916 of FIG. 29) of the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29). Thedatabase software 1840 may be provided a database management system thatmay support the global neighborhood environment 1800 (e.g., theneighborhood environment 2900 of FIG. 29. The mail server 1842 may beprovided for sending, receiving and storing mails. The device 1806 and1808 may communicate with the GUI display(s) 1802 and 1804, the router1812 through the network 1810 and the global neighborhood environment1800 (e.g., the privacy server 2900 of FIG. 29).

FIG. 19 is a block diagram of a database, according to one embodiment.Particularly the block diagram of the database 1900 of FIG. 19illustrates a user data 1902, a location data, a zip codes data 1906, aprofiles data 1908, a photos data 1910, a testimonials data 1912, asearch parameters data 1914, a neighbor data 1916, a friends requestsdata 1918, a invites data 1920, a bookmarks data 1922, a messages data1924 and a bulletin board data 1926, according to one embodiment.

The database 1900 be may include descriptive data, preference data,relationship data, and/or other data items regarding the registered userof the global neighborhood environment 1800 (e.g., the privacy server2900 of FIG. 29.

The user data 1902 may be a descriptive data referring to informationthat may describe a user (e.g., the user 2916 of FIG. 29). It mayinclude elements in a certain format for example Id may be formatted asinteger, Firstname may be in text, Lastname may be in text, Email may bein text, Verify may be in integer, Password may be in text, Gender maybe in m/f, Orientation may be in integer, Relationship may be in y/n,Dating may be in y/n, Friends may be in y/n, Activity may be in y/n,Status may be in integer, Dob may be in date, Country may be in text,Zip code may be in text, Postalcode may be in text, State may be intext, Province may be in text, City may be in text, Occupation may be intext, Location may be in text, Hometown may be in text, Photo may be ininteger, Membersince may be in date, Lastlogin may be in date,Lastupdate may be in date, Recruiter may be in integer, Friendcount maybe in integer, Testimonials may be in integer, Weeklypdates may be iny/n, Notifications may be in y/n, Photomode may be in integer and/orType may be in integer.

The locations data 1904 may clarify the location details in formattedapproach. For example Zip code may be formatted as integer, City may bein text and/or State may be in text. The zip codes data 1906 may provideinformation of a user location in formatted manner. For example Zip codemay be formatted as text, Latitude may be in integer and/or Longitudemay be in integer. The profile data 1908 may clutch personneldescriptive data that may be formatted.

For examples ID may be formatted as integer, Interests may be in text,Favoritemusic may be in text, Favaoritebooks may be in text, Favoritetvmay be in text, Favoritemovies may be in text, Aboutme may be in text,Wanttommet may be in text, Ethnicity may be in integer, Hair may be ininteger, Eyes may be in integer, Height may be in integer, Body may bein integer, Education may be in integer, Income may be in integer,Religion may be in integer, Politics may be in integer Smoking may be ininteger, Drinking may be in integer and/or Kids may be in integer.

The photos data 1910 may represent a digital image and/or a photographof the user formatted in certain approach. For example Id may beformatted as integer, User may be in integer, Fileid may be in integerand/or Moderation may be in integer. The testimonials data 1912 mayallow users to write “testimonials” 1912, or comments, about each otherand in these testimonials, users may describe their relationship to anindividual and their comments about that individual. For example theuser might write a testimonial that states “Rohan has been a friend ofmine since graduation days. He is smart, intelligent, and a talentedperson.” The elements of testimonials data 1912 may be formatted as Idmay be in integer, User may be in integer, Sender may be integer,Approved may be in y/n, Date may be in date and/or Body may be formattedin text.

The search parameters data 1914 may be preference data referring to thedata that may describe preferences one user has with respect to another(For example, the user may indicate that he is looking for a female whois seeking a male for a serious relationship). The elements of thesearch parameters data 1914 may be formatted as User 1902 may be ininteger, Photosonly may be in y/n, Justphotos may be in y/n, Male may bein y/n, Female may be in y/n, Men may be in y/n, Women may be in y/n,Helptohelp may be in y/n, Friends may be in y/n, Dating may be in y/n,Serious may be in y/n, Activity may be in y/n, Minage may be in integer,Maxage may be in integer, Distance may be in integer, Single may be iny/n, Relationship may be in y/n, Married may be in y/n and/orOpenmarriage may be in y/n.

The neighbor's data 1916 may generally refer to relationships amongregistered users of the global neighborhood environment 1800 (e.g., theprivacy server 2900 of FIG. 29) that have been verified and the user hasrequested another individual to join the system as neighbor 1916, andthe request may be accepted. The elements of the neighbors data 1916 maybe formatted as user1 may be in integer and/or user2 may be in integer.The friend requests data 1918 may tracks requests by users within theneighborhood (e.g., the neighborhood 2902A-N of FIG. 29) to otherindividuals, which requests have not yet been accepted and may containelements originator and/or respondent formatted in integer. The invitesdata 1920 may describe the status of a request by the user to invite anindividual outside the neighborhood (e.g., the neighborhood 2902A-N ofFIG. 29) to join the neighborhood (e.g., the neighborhood 2902A-N ofFIG. 29) and clarify either the request has been accepted, ignoredand/or pending.

The elements of the invites data 1920 may be formatted as Id may be ininteger, Key may be in integer, Sender may be in integer, Email may bein text, Date may be in date format, Clicked may be in y/n, Joined maybe in y/n and/or Joineduser may be in integer. The bookmarks data 1922may be provide the data for a process allowed wherein a registered userof the global neighborhood environment 1800 (e.g., the privacy server2900 of FIG. 29) may indicate an interest in the profile of anotherregistered user. The bookmark data 1922 elements may be formatted asOwner may be in integer, User may be in integer and/or Visible may be iny/n. The message data 1924 may allow the users to send one anotherprivate messages.

The message data 1924 may be formatted as Id may be in integer, User maybe in integer, Sender may be in integer, New may be in y/n, Folder maybe in text, Date may be in date format, Subject may be in text and/orBody may be in text format. The bulletin board data 1926 may supportsthe function of a bulletin board that users may use to conduct onlinediscussions, conversation and/or debate. The claimable data 1928 mayshare the user profiles (e.g., the user profile 29200 of FIG. 40A) inthe neighborhood (e.g., the neighborhood 2902A-N of FIG. 29) and itselements may be formatted as claimablesinputed and/or others may be intext format.

FIG. 20 is an exemplary graphical user interface view for datacollection, according to one embodiment. Particularly FIG. 20illustrates exemplary screens 2002, 2004 that may be provided to theuser (e.g., the user 2916 of FIG. 29) through a user interface 1802 maybe through the network (e.g., Internet), to obtain user descriptivedata. The screen 2002 may collect data allowing the user (e.g., the user2916 of FIG. 29) to login securely and be identified by the neighborhood(e.g., the neighborhood 2902A-N of FIG. 29). This screen 2002 may allowthe user to identify the reason he/she is joining the neighborhood. Forexample, a user may be joining the neighborhood for “neighborhoodwatch”. The screen 2004 may show example of how further groups may bejoined. For example, the user (e.g., the user 2916 of FIG. 29) may bewilling to join a group “Scrapbook Club”. It may also enclose the dataconcerning Dob, country, zip/postal code, hometown, occupation and/orinterest.

FIG. 21 is an exemplary graphical user interface view of imagecollection, according to one embodiment. A screen 2100 may be interfaceprovided to the user (e.g., the user 2916 of FIG. 29) over the network(e.g., internet) may be to obtain digital images from system user. Theinterface 2102 may allow the user (e.g., the user 2916 of FIG. 29) tobrowse files on his/her computer, select them, and then upload them tothe neighborhood (e.g., the neighborhood 2902A-N of FIG. 29). The user(e.g., the user 2916 of FIG. 29) may upload the digital images and/orphoto that may be visible to people in the neighbor (e.g., the neighbor2920 of FIG. 29) network and not the general public. The user may beable to upload a JPG, GIF, PNG and/or BMP file in the screen 2100.

FIG. 22 is an exemplary graphical user interface view of an invitation,according to one embodiment. An exemplary screen 2200 may be provided toa user through a user interface 2202 may be over the network (e.g.,internet) to allow users to invite neighbor or acquaintances to join theneighborhood (e.g., the neighborhood 2902A-N of FIG. 29). The userinterface 2202 may allow the user (e.g., the user 2916 of FIG. 29) toenter one or a plurality of e-mail addresses for friends they may liketo invite to the neighborhood (e.g., the neighborhood 2902A-N of FIG.29). The exemplary screen 2200 may include the “subject”, “From”, “To”,“Optional personnel message”, and/or “Message body” sections. In the“Subject” section a standard language text may be included for joiningthe neighborhood (e.g., Invitation to join Fatdoor from John Doe, aneighborhood.).

The “From” section may include the senders email id (e.g.,user@domain.com). The “To” section may be provided to add the email idof the person to whom the sender may want to join the neighborhood(e.g., the neighborhood 2902A-N of FIG. 29). The message that may besent to the friends and/or acquaintances may include standard languagedescribing the present neighborhood, the benefits of joining and thesteps required to join the neighborhood (e.g., the neighborhood 2902A-Nof FIG. 29). The user (e.g., the user 2916 of FIG. 29) may choose toinclude a personal message, along with the standard invitation in the“Optional personal message” section. In the “Message body” section theinvited friend or acquaintance may initiate the process to join thesystem by clicking directly on an HTML link included in the e-mailmessage (e.g., http://www.fatdoor.com/joinjsp? Invite=140807). In oneembodiment, the user (e.g., the user 2916 of FIG. 29) may import e-mailaddresses from a standard computerized address book. The system mayfurther notify the inviting user when her invitee accepts or declinesthe invitation to join the neighborhood (e.g., the neighborhood 2902A-Nof FIG. 29).

FIG. 23 is a flowchart of inviting the invitee(s) by the registereduser, notifying the registered user upon the acceptance of theinvitation by the invitee(s) and, processing and storing the input dataassociated with the user (e.g., the user 2916 of FIG. 29) in thedatabase, according to one embodiment. In operation 2302, the verifiedregistered user (e.g., the verified registered user 4110 of FIG. 41A-B,the verified registered user 4110 of FIG. 16) willing to invite theindividual enters the email addresses of an individual “invitee”. Inoperation 2304, the email address and the related data of the inviteemay be stored in the database. In operation 2306, the invitation contentfor inviting the invitee may be generated from the data stored in thedatabase. In operation 2308, the registered user sends invitation to theinvitee(s).

In operation 2310, response from the user (e.g., the user 2916 of FIG.29) may be determined. The operation 2312, if the invitee doesn'trespond to invitation sent by the registered user then registered usermay resend the invitation for a predefined number of times. In operation2314, if the registered user resends the invitation to the same inviteefor predefined number of times and if the invitee still doesn't respondto the invitation the process may be terminated automatically.

In operation 2316, if the invitee accepts the invitation sent by theregistered user then system may notify the registered user that theinvitee has accepted the invitation. In operation 2318, the input fromthe present invitee(s) that may contain the descriptive data about thefriend (e.g., registered user) may be processed and stored in thedatabase.

For example, each registered user associated e-mail addresses ofindividuals who are not registered users may be stored and identified byeach registered user as neighbors. An invitation to become a new user(e.g., the user 2916 of FIG. 29) may be communicated out to neighbor(e.g., the neighbors neighbor of FIG. 29) of the particular user. Anacceptance of the neighbor (e.g., the neighbor 2920 of FIG. 29) to whomthe invitation was sent may be processed.

The neighbor (e.g., the neighbor 2920 of FIG. 29) may be added to adatabase and/or storing of the neighbor (e.g., the neighbor 2920 of FIG.29), a user ID and a set of user IDs of registered users who aredirectly connected to the neighbor (e.g., the neighbor 2920 of FIG. 29),the set of user IDs stored of the neighbor (e.g., the neighbor 2920 ofFIG. 29) including at least the user ID of the verified registered user(e.g., the verified registered user 4110 of FIG. 41A-B, the verifiedregistered user 4110 of FIG. 16). Furthermore, the verified registereduser may be notified that the invitation to the neighbor (e.g., theneighbor 2920 of FIG. 29) has been accepted when an acceptance isprocessed. Also, inputs from the neighbor (e.g., the neighbor 2920 ofFIG. 29) having descriptive data about the friend may be processed andthe inputs in the database may be stored.

FIG. 24 is a flowchart of adding the neighbor (e.g., the neighbor 2920of FIG. 29) to the queue, according to one embodiment. In operation2402, the system may start with the empty connection list and emptyqueue. In operation 2404, the user may be added to the queue. Inoperation 2406, it is determined whether the queue is empty. Inoperation 2408, if it is determined that the queue is not empty then thenext person P may be taken from the queue. In operation 2410, it may bedetermined whether the person P from the queue is user B or not. Inoperation 2412, if the person P is not user B then it may be determinedwhether the depth of the geographical location is less than maximumdegrees of separation.

If it is determined that depth is more than maximum allowable degrees ofseparation then it may repeat the operation 2406. In operation 2414, ifmay be determined that the depth of the geographical location (e.g., thegeographical location 4004 of FIG. 40A) is less than maximum degrees ofseparation then the neighbors (e.g., the neighbor 2920 of FIG. 29) listfor person P may be processed. In operation 2416, it may be determinedwhether all the neighbors (e.g., the neighbor 2920 of FIG. 29) in theneighborhood (e.g., the neighborhood 2902A-N of FIG. 29) have beenprocessed or not. If all the friends are processed it may be determinedthe queue is empty.

In operation 2418, if all the neighbors (e.g., the neighbor 2920 of FIG.29) for person P are not processed then next neighbor N may be takenfrom the list. In operation 2420, it may be determined whether theneighbor (e.g., the neighbor 2920 of FIG. 29) N has encountered beforeor not. In operation 2422, if the neighbor (e.g., the neighbor 2920 ofFIG. 29) has not been encountered before then the neighbor may be addedto the queue. In operation 2424, if the neighbor N has been encounteredbefore it may be further determined whether the geographical location(e.g., the geographical location 4004 of FIG. 40A) from where theneighbor (e.g., the neighbor 2920 of FIG. 29) has encountered previouslyis the same place or closer to that place.

If it is determined that the neighbor (e.g., the neighbor 2920 of FIG.29) has encountered at the same or closer place then the friend may beadded to the queue. If it may be determined that friend is notencountered at the same place or closer to that place then it may beagain checked that all the friends have processed. In operation 2426, ifit is determined that the person P is user B than the connection may beadded to the connection list and after adding the connection toconnection list it follows the operation 2412. In operation 2428, if itmay be determined that queue is empty then the operation may return theconnections list.

For example, a first user ID with the verified registered user (e.g.,the verified registered user 4110 of FIG. 41A-B, the verified registereduser 4110 of FIG. 16) and a second user ID may be applied to thedifferent registered user. The verified registered user (e.g., theverified registered user 4110 of FIG. 41A-B, the verified registereduser 4110 of FIG. 16) with the different registered user may beconnected with each other through at least one of a geo-positioning dataassociated with the first user ID and the second user ID. In addition, amaximum degree of separation (Nmax) of at least two that is allowed forconnecting any two registered users, (e.g., the two registered users whomay be directly connected may be deemed to be separated by one degree ofseparation and two registered users who may be connected through no lessthan one other registered user may be deemed to be separated by twodegrees of separation and two registered users who may be connectedthrough not less than N other registered users may be deemed to beseparated by N+1 degrees of separation).

Furthermore, the user ID of the different registered user may besearched (e.g., the method limits the searching of the differentregistered user in the sets of user IDs that may be stored as registeredusers who are less than Nmax degrees of separation away from theverified registered user (e.g., the verified registered user 4110 ofFIG. 41A-B, the verified registered user 4110 of FIG. 16), such that theverified registered user (e.g., the verified registered user 4110 ofFIG. 41A-B, the verified registered user 4110 of FIG. 16) and thedifferent registered user who may be separated by more than Nmax degreesof separation are not found and connected.) in a set of user IDs thatmay be stored of registered users who are less than Nmax degrees ofseparation away from the verified registered user (e.g., the verifiedregistered user 4110 of FIG. 41A-B, the verified registered user 4110 ofFIG. 16), and not in the sets of user IDs that may be stored forregistered users who are greater than or equal to Nmax degrees ofseparation away from the verified registered user (e.g., the verifiedregistered user 4110 of FIG. 41A-B, the verified registered user 4110 ofFIG. 16), until the user ID of the different registered user may befound in one of the searched sets. Also, the verified registered user(e.g., the verified registered user 4110 of FIG. 41A-B, the verifiedregistered user 4110 of FIG. 16) may be connected to the differentregistered user if the user ID of the different registered user may befound in one of the searched sets.

Moreover, the sets of user IDs that may be stored of registered usersmay be searched initially who are directly connected to the verifiedregistered user (e.g., the verified registered user 4110 of FIG. 41A-B,the verified registered user 4110 of FIG. 16). A profile of thedifferent registered user may be communicated to the verified registereduser (e.g., the verified registered user 4110 of FIG. 41A-B, theverified registered user 4110 of FIG. 16) to display through a markerassociating the verified registered user (e.g., the verified registereduser 4110 of FIG. 41A-B, the verified registered user 4110 of FIG. 16)with the different registered user. A connection path between theverified registered user (e.g., the verified registered user 4110 ofFIG. 41A-B, the verified registered user 4110 of FIG. 16) and thedifferent registered user, the connection path indicating at least oneother registered user may be stored through whom the connection pathbetween the verified registered user (e.g., the verified registered user4110 of FIG. 41A-B, the verified registered user 4110 of FIG. 16) andthe different registered user is made.

In addition, the connection path between the verified registered user(e.g., the verified registered user 4110 of FIG. 41A-B, the verifiedregistered user 4110 of FIG. 16) and the different registered user maybe communicated to the verified registered user to display. A hyperlinkin the connection path of each of the at least one registered users maybe embedded through whom the connection path between the verifiedregistered user (e.g., the verified registered user 4110 of FIG. 41A-B,the verified registered user 4110 of FIG. 16) and the differentregistered user is made.

FIG. 25 is a flowchart of communicating brief profiles of the registeredusers, processing a hyperlink selection from the verified registereduser (e.g., the verified registered user 4110 of FIG. 41A-B, theverified registered user 4110 of FIG. 16) and calculating and ensuringthe Nmax degree of separation of the registered users away from verifiedregistered users (e.g., the verified registered user 4110 of FIG. 41A-B,the verified registered user 4110 of FIG. 16), according to oneembodiment. In operation 2502, the data of the registered users may becollected from the database. In operation 2504, the relational pathbetween the first user and the second user may be calculated (e.g., theNmax degree of separation between verified registered user (e.g., theverified registered user 4110 of FIG. 41A-B, the verified registereduser 4110 of FIG. 16) and the registered user).

For example, the brief profiles of registered users, including a briefprofile of the different registered user, to the verified registereduser (e.g., the verified registered user 4110 of FIG. 41A-B, theverified registered user 4110 of FIG. 16) for display, each of the briefprofiles including a hyperlink to a corresponding full profile may becommunicated.

Furthermore, the hyperlink selection from the verified registered user(e.g., the verified registered user 4110 of FIG. 41A-B, the verifiedregistered user 4110 of FIG. 16) may be processed (e.g., upon processingthe hyperlink selection of the full profile of the different registereduser, the full profile of the different registered user may becommunicated to the verified registered user (e.g., the verifiedregistered user 4110 of FIG. 41A-B, the verified registered user 4110 ofFIG. 16) for display). In addition, the brief profiles of thoseregistered users may be ensured who are more than Nmax degrees ofseparation away from the verified registered user (e.g., the verifiedregistered user 4110 of FIG. 41A-B, the verified registered user 4110 ofFIG. 16) are not communicated to the verified registered user (e.g., theverified registered user 4110 of FIG. 41A-B, the verified registereduser 4110 of FIG. 16) for display.

FIG. 26 is an N degree separation view 2650, according to oneembodiment. ME may be a verified registered user (e.g., the verifiedregistered user 4110 of FIG. 41A-B, the verified registered user 4110 ofFIG. 16) of the global neighborhood environment 1800 (e.g., the privacyserver 2900 of FIG. 29) centered in the neighborhood network. A, B, C,D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T, and/or U may be theother registered user of the neighborhood network. The member of theneighborhood network may be separated from the centered verifiedregistered user (e.g., the verified registered user 4110 of FIG. 41A-B,the verified registered user 4110 of FIG. 16) ME of the neighborhoodnetwork by certain degree of separation. The registered user A, B and Cmay be directly connected and are deemed to be separated by one degreeof separation from verified registered user (e.g., the verifiedregistered user 4110 of FIG. 41A-B, the verified registered user 4110 ofFIG. 16) ME. The registered user D, E, F, G, and H may be connectedthrough no less than one other registered user may be deemed to beseparated by two degree of separation from verified registered user(e.g., the verified registered user 4110 of FIG. 41A-B, the verifiedregistered user 4110 of FIG. 16) ME. The registered user I, J, K, and Lmay be connected through no less than N−1 other registered user may bedeemed to be separated by N degree of separation from verifiedregistered user (e.g., the verified registered user 4110 of FIG. 41A-B,the verified registered user 4110 of FIG. 16) ME. The registered user M,N, O, P, Q, R S, T and U may be all registered user.

FIG. 27 is a user interface view 2700 showing a map, according to oneembodiment. Particularly FIG. 27 illustrates a satellite photo of aphysical world. The registered user of the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29) may use thisfor exploring the geographical location (e.g., the geographical location4004 of FIG. 40A) of the neighbors (e.g., the neighbor 2920 of FIG. 29).The registered user (e.g., the verified registered user 4110 of FIG.41A-B, the verified registered user 4110 of FIG. 16) may navigate, zoom,explore and quickly find particular desired geographical locations ofthe desired neighbors (e.g., the neighbor 2920 of FIG. 29). This mayhelp the registered user to read the map and/or plot the route of theneighbors (e.g., the neighbor 2920 of FIG. 29) on the world map.

FIG. 28A is a process flow of searching map based community andneighborhood contribution, according to one embodiment. In operation2802, a verified registered user (e.g., a verified registered user 4110of FIG. 41A-13B, a verified registered user 4110 of FIG. 16) may beassociated with a user profile (e.g., a user profile 29200 of FIG. 40A).In operation 2804, the user profile (e.g., the user profile 29200 ofFIG. 40A) may be associated with a verified geographic location (e.g., ageographic location 4004 of FIG. 40A).

In operation 2806, a map (e.g., a map 4002 of FIG. 40B-41A, a map 1400of FIG. 14, a map 1600 of FIG. 16, a map 1701 of FIG. 17) may begenerated concurrently displaying the user profile (e.g., the userprofile 29200 of FIG. 40A) and the verified geographic location (e.g.,the geographic location 4004 of FIG. 40A). In operation, 2808, in themap, claimable profiles (e.g., a claimable profile 4006 of FIG. 40A-B, aclaimable profile 4102 of FIG. 41A, a claimable profile 1704 of FIG. 17)associated with different geographic locations may be simultaneouslygenerated surrounding the verified geographic location (e.g., thegeographic location 4004 of FIG. 40A) associated with the user profile(e.g., the user profile 29200 of FIG. 40A).

In operation 2810, a query of at least one of the user profile (e.g.,the user profile 29200 of FIG. 40A) and the verified geographic location(e.g., the geographic location 4004 of FIG. 40A) may be processed. Inoperation 2812, a particular claimable profile of the claimable profiles(e.g., the claimable profile 4006 of FIG. 40A-B, the claimable profile4102 of FIG. 41A, the claimable profile 1704 of FIG. 17) may beconverted to another user profile (e.g., the user profile 29200 of FIG.40A) when a different registered user claims a particular geographiclocation to the verified geographic location (e.g., the geographiclocation 4004 of FIG. 40A) associated with the particular claimableprofile (e.g., the claimable profile 4006 of FIG. 40A-B, the claimableprofile 4102 of FIG. 41A, the claimable profile 1704 of FIG. 17),wherein the user profile (e.g., the user profile 29200 of FIG. 40A) maybe tied to a specific property in a neighborhood (e.g., a neighborhood2902A-2902N of FIG. 29), and wherein the particular claimable profile(e.g., the claimable profile 4006 of FIG. 40B-41A, the claimable profile4102 of FIG. 41A, the claimable profile 1704 of FIG. 17) may beassociated with a neighboring property to the specific property in theneighborhood (e.g., the neighborhood 2920A-2920N of FIG. 29).

In operation 2814, a certain claimable profile (e.g., the claimableprofile 4006 of FIG. 40B-41A, the claimable profile 4102 of FIG. 41A,the claimable profile 1704 of FIG. 17) of the claimable profiles (e.g.,the claimable profile 4006 of FIG. 40A-B, the claimable profile 4102 ofFIG. 41A, the claimable profile 1704 of FIG. 17) may be delisted when aprivate registered user claims a certain geographic location (e.g., thegeographic location 4004 of FIG. 40A) adjacent to at least one of theverified geographic location and the particular geographic location(e.g., the geographic location 4004 of FIG. 40A).

In operation 2816, the certain claimable profile (e.g., the claimableprofile 4006 of FIG. 40A-B, the claimable profile 4102 of FIG. 41A, theclaimable profile 1704 of FIG. 17) in the map (e.g., the map 4002 ofFIG. 40A-B, the map 1400 of FIG. 14, the map 1600 of FIG. 16, the map1701 of FIG. 17) when the certain claimable profile may be delistedand/or be masked through the request of the private registered user.

FIG. 28B is a continuation of process flow of FIG. 28A showingadditional processes, according to one embodiment. In operation 2818, atag data associated with at least one of the verified geographiclocation, the particular geographic location (e.g., the geographiclocation 4004 of FIG. 40A), and the delisted geographic location may beprocessed. In operation 2820, a frequent one of the tag data may bedisplayed when at least one of the verified geographic location and theparticular geographic location (e.g., the geographic location 4004 ofFIG. 40A) may be made active, but not when the geographic location(e.g., the geographic location 4004 of FIG. 40A) may be delisted.

In operation 2822, a commercial user (e.g., a commercial user 4100 ofFIG. 41A-B) may be permitted to purchase a customizable business profile(e.g., a customizable business profile 4104 of FIG. 41B) associated witha commercial geographic location. In operation 2824, the verifiedregistered user (e.g., the verified registered user 4110 of FIG. 41A-B,the verified registered user 4110 of FIG. 16) to communicate a messageto the neighborhood (e.g., the neighborhood 2902A-2902N of FIG. 29) maybe enabled based on a selectable distance range away from the verifiedgeographic location.

In operation 2826, a payment of the commercial user (e.g., thecommercial user 4100 of FIG. 41A-B) and the verified registered user(e.g., the verified registered user 4110 of FIG. 41A-B, the verifiedregistered user 4110 of FIG. 16) may be processed. In operation 2828,the verified registered user (e.g., the verified registered user 4110 ofFIG. 41A-B, the verified registered user 4110 of FIG. 16) may bepermitted to edit any information in the claimable profiles (e.g., theclaimable profile 4006 of FIG. 40A-B, the claimable profile 4102 of FIG.41A, the claimable profile 1704 of FIG. 17) including the particularclaimable profile and the certain claimable profile until the certainclaimable profile may be claimed by at least one of the differentregistered user and the private registered user.

In operation 2830, a claimant of any claimable profile (e.g., theclaimable profile 4006 of FIG. 40A-B, the claimable profile 4102 of FIG.41A, the claimable profile 1704 of FIG. 17) may be enabled to controlwhat information is displayed on their user profile (e.g., the userprofile 29200 of FIG. 40A). In operation 2832, the claimant to segregatecertain information on their user profile (e.g., the user profile 29200of FIG. 40A) may be allowed such that only other registered usersdirectly connected to the claimant are able to view data on their userprofile (e.g., the user profile 29200 of FIG. 40A).

FIG. 28C is a continuation of process flow of FIG. 28B showingadditional processes, according to one embodiment. In operation 2834, afirst user ID with the verified registered user (e.g., the verifiedregistered user 4110 of FIG. 41A-B, the verified registered user 4110 ofFIG. 16) and a second user ID to the different registered user may beapplied. In operation 2836, the verified registered user (e.g., theverified registered user 4110 of FIG. 41A-B, the verified registereduser 4110 of FIG. 16) with the different registered user with each othermay be connected through at least one of associated with the first userID and the second user ID.

In operation 2838, a maximum degree of separation (Nmax) of at least twomay be set that is allowed for connecting any two registered users,wherein two registered users who are directly connected may be deemed tobe separated by one degree of separation and two registered users whoare connected through no less than one other registered user may bedeemed to be separated by two degrees of separation and two registeredusers who may be connected through no less than N other registered usersare deemed to be separated by N+1 degrees of separation. In operation2840, the user ID of the different registered user may be searched in aset of user IDs that are stored of registered users who are less thanNmax degrees of separation away from the verified registered user (e.g.,the verified registered user 4110 of FIG. 41A-B, the verified registereduser 4110 of FIG. 16), and not in the sets of user IDs that are storedfor registered users who may be greater than or equal to Nmax degrees ofseparation away from the verified registered user (e.g., the verifiedregistered user 4110 of FIG. 41A-B, the verified registered user 4110 ofFIG. 16), until the user ID of the different registered user may befound in one of the searched sets.

In operation 2842, the verified registered user (e.g., the verifiedregistered user 4110 of FIG. 41A-B, the verified registered user 4110 ofFIG. 16) may be connected to the different registered user if the userID of the different registered user may be found in one of the searchedsets, wherein the method limits the searching of the differentregistered user in the sets of user IDs that may be stored of registeredusers who may be less than Nmax degrees of separation away from theverified registered user (e.g., the verified registered user 4110 ofFIG. 41A-B, the verified registered user 4110 of FIG. 16), such that theverified registered user (e.g., the verified registered user 4110 ofFIG. 41A-B, the verified registered user 4110 of FIG. 16) and thedifferent registered user who may be separated by more than Nmax degreesof separation are not found and connected. In operation 2844, initiallyin the sets of user IDs that are stored of registered users who may bedirectly connected to the verified registered user (e.g., the verifiedregistered user 4110 of FIG. 41A-B, the verified registered user 4110 ofFIG. 16) may be initially searched.

FIG. 28D is a continuation of process flow of FIG. 28C showingadditional processes, according to one embodiment. In operation 2846, aprofile of the different registered user to the verified registered user(e.g., the verified registered user 4110 of FIG. 41A-B, the verifiedregistered user 4110 of FIG. 16) to display may be communicated througha marker associating the verified registered user (e.g., the verifiedregistered user 4110 of FIG. 41A-B, the verified registered user 4110 ofFIG. 16) with the different registered user.

In operation 2848, a connection path between the verified registereduser (e.g., the verified registered user 4110 of FIG. 41A-B, theverified registered user 4110 of FIG. 16) and the different registereduser, the connection path indicating at least one other registered usermay be stored through whom the connection path between the verifiedregistered user (e.g., the verified registered user 4110 of FIG. 41A-B,the verified registered user 4110 of FIG. 16) and the differentregistered user may be made.

In operation 2850, the connection path between the verified registereduser (e.g., the verified registered user 4110 of FIG. 41A-B, theverified registered user 4110 of FIG. 16) and the different registereduser to the verified registered user (e.g., the verified registered user4110 of FIG. 41A-B, the verified registered user 4110 of FIG. 16) may becommunicated to display.

In operation 2852, a hyperlink in the connection path of each of the atleast one registered users may be embedded through whom the connectionpath between the verified registered user (e.g., the verified registereduser 4110 of FIG. 41A-B, the verified registered user 4110 of FIG. 16)and the different registered user may be made. In operation 2854, eachregistered user associated e-mail addresses of individuals who are notregistered users may be stored and identified by each registered user asneighbors (e.g., a neighbor 2920 of FIG. 29).

In operation 2856, an invitation may be communicated to become a newuser (e.g., a user 2916 of FIG. 29) to neighbors (e.g., the neighbor2920 of FIG. 29) of the particular user. In operation 2858, anacceptance of the neighbor (e.g., the neighbor 2920 of FIG. 29) to whomthe invitation was sent may be processed. In operation 2860, theneighbor (e.g., the neighbor 2920 of FIG. 29) to a database and storingof the neighbor (e.g., the neighbor 2920 of FIG. 29), a user ID and theset of user IDs of registered users may be added who are directlyconnected to the neighbor (e.g., the neighbor 2920 of FIG. 29), the setof user IDs stored of the neighbor (e.g., the neighbor 2920 of FIG. 29)including at least the user ID of the verified registered user (e.g.,the verified registered user 4110 of FIG. 41A-B, the verified registereduser 4110 of FIG. 16).

FIG. 28E is a continuation of process flow of FIG. 28D showingadditional processes, according to one embodiment. In operation 2862,the verified registered user (e.g., the verified registered user 4110 ofFIG. 41A-B, the verified registered user 4110 of FIG. 16) that theinvitation to the neighbor (e.g., the neighbor 2920 of FIG. 29) has beenaccepted may be notified when the acceptance is processed.

In operation 2864, inputs from the neighbor (e.g., the neighbor 2920 ofFIG. 29) having descriptive data about the friend and storing the inputsin the database may be processed. In operation 2866, brief profiles ofregistered users, including a brief profile of the different registereduser may be communicated, to the verified registered user (e.g., theverified registered user 4110 of FIG. 41A-B, the verified registereduser 4110 of FIG. 16) for display, each of the brief profiles includingthe hyperlink to a corresponding full profile.

In operation 2868, the hyperlink selection from the verified registereduser (e.g., the verified registered user 4110 of FIG. 41A-B, theverified registered user 4110 of FIG. 16) may be processed, wherein,upon processing the hyperlink selection of the full profile of thedifferent registered user, the full profile of the different registereduser is communicated to the verified registered user (e.g., the verifiedregistered user 4110 of FIG. 41A-B, the verified registered user 4110 ofFIG. 16) for display.

In operation 2870, brief profiles of those registered users who may bemore than Nmax degrees of separation away from the verified registereduser (e.g., the verified registered user 4110 of FIG. 41A-B, theverified registered user 4110 of FIG. 16) may not communicated to theverified registered user (e.g., the verified registered user 4110 ofFIG. 41A-B, the verified registered user 4110 of FIG. 16) may be ensuredfor display.

In one embodiment, a neighborhood communication system 2950 isdescribed. This embodiment includes a privacy server 2900 to apply anaddress verification algorithm (e.g., using verify algorithm 3006 ofFIG. 30) associated with each user of the online community (e.g., asshown in the social community view 3650 of FIG. 36 formed through theneighborhood network algorithm as described in FIG. 38) to verify thateach user lives at a residence associated with a claimable residentialaddress (e.g., using sub-algorithms of the claimable algorithm 2910 asdescribed in FIG. 31) of an online community (e.g., as shown in thesocial community view 3650 of FIG. 36 formed through the neighborhoodnetwork algorithm as described in FIG. 38) formed through a socialcommunity algorithm 2906 of the privacy server 2900 using a processor3902 and a memory (e.g., as described in FIG. 39).

A network 2904, and a mapping server 2926 (e.g., providing global mapdata) communicatively coupled with the privacy server 2900 through thenetwork 2904 generate a latitudinal data and a longitudinal dataassociated with each claimable residential address (e.g., usingsub-algorithms of the claimable algorithm 2910 as described in FIG. 31)of the online community (e.g., as shown in the social community view3650 of FIG. 36 formed through the neighborhood network algorithm asdescribed in FIG. 38) associated with each user of the online community(e.g., as shown in the social community view 3650 of FIG. 36 formedthrough the neighborhood network algorithm as described in FIG. 38) inthis embodiment.

It will be appreciated that the neighborhood communication system 2950may operate the various multi-copters 100 of FIG. 1 in a peer-to-peertopology. Particularly, the peer-to-peer (P2P) networks formed in thevarious embodiments described in FIGS. 1-41B may include a type ofdecentralized and distributed network architecture in which individualmulti-copters (e.g., the multi-copters of FIG. 1) and client sidedevices (e.g., mobile devices of neighbors, desktop computers ofneighbors) in the network (e.g., “peers”) act as both suppliers andconsumers of resources, in contrast to the centralized client-servermodel where client nodes request access to resources provided by centralservers, according to one embodiment. Through a peer-to-peer methodologyof neighborhood multi-copters, each connected through a commoncentralized communication system (e.g., a cloud based communicationsystem), collisions between multi-copters can be minimized by relayingpositional information between a series of multi-copters and clientdevices presently in flight, according to one embodiment (e.g.,redundant paths and communications can be simultaneously handled). Inthis embodiment, controlling the multi-copter 100 functions may be areshared amongst multiple interconnected peers who each make a portion oftheir resources (such as processing power, disk storage or networkbandwidth) directly available to other network participants, without theneed for centralized coordination by servers, according to oneembodiment.

The privacy server 2900 automatically determines a set of accessprivileges in the online community (e.g., as shown in the socialcommunity view 3650 of FIG. 31 formed through the neighborhood networkalgorithm as described in FIG. 38) associated with each user of theonline community (e.g., as shown in the social community view 3650 ofFIG. 36 formed through the neighborhood network algorithm as describedin FIG. 38) by constraining access in the online community (e.g., asshown in the social community view 3650 of FIG. 36 formed through theneighborhood network algorithm as described in FIG. 38) based on aneighborhood boundary determined using a Bezier curve algorithm 3040 ofthe privacy server 2900 in this embodiment.

The privacy server 2900 (e.g., a hardware device of a globalneighborhood environment 1800) may transform the claimable residentialaddress (e.g., using sub-algorithms of the claimable algorithm 2910 asdescribed in FIG. 31) into a claimed address upon an occurrence of anevent. The privacy server 2900 may instantiate the event when aparticular user 2916 is associated with the claimable residentialaddress (e.g., using sub-algorithms of the claimable algorithm 2910 asdescribed in FIG. 31) based on a verification of the particular user2916 as living at a particular residential address (e.g., associatedwith the residence 2918 of FIG. 29) associated with the claimableresidential address (e.g., using sub-algorithms of the claimablealgorithm 2910 as described in FIG. 31) using the privacy server 2900.The privacy server 2900 may constrain the particular user 2916 tocommunicate through the online community (e.g., as shown in the socialcommunity view 3650 of FIG. 36 formed through the neighborhood networkalgorithm as described in FIG. 38) only with a database of neighbors2928 (e.g., such as the neighbor 2920 of FIG. 29 forming an occupantdata) having verified addresses using the privacy server 2900. Theprivacy server 2900 may define the database of neighbors 2928 (e.g.,such as the neighbor 2920 of FIG. 29) as other users of the onlinecommunity (e.g., as shown in the social community view 3650 of FIG. 36formed through the neighborhood network algorithm as described in FIG.38) that have each verified their addresses in the online community(e.g., as shown in the social community view 3650 of FIG. 36 formedthrough the neighborhood network algorithm as described in FIG. 38)using the privacy server 2900 and/or which have each claimed residentialaddresses that are in a threshold radial distance from the claimedaddress of the particular user 2916.

The privacy server 2900 may constrain the threshold radial distance tobe less than a distance of the neighborhood boundary using the Beziercurve algorithm 3040. The privacy server 2900 may permit theneighborhood boundary to take on a variety of shapes based on anassociated geographic connotation, a historical connotation, a politicalconnotation, and/or a cultural connotation of neighborhood boundaries.The privacy server 2900 may apply a database of constraints (e.g., thedatabases of FIG. 30 including the places database 3018) associated withneighborhood boundaries that are imposed on a map view of the onlinecommunity (e.g., as shown in the social community view 3650 of FIG. 36formed through the neighborhood network algorithm as described in FIG.38) when permitting the neighborhood boundary to take on the variety ofshapes.

The privacy server 2900 may generate a user-generated boundary in a formof a polygon describing geo spatial boundaries defining the particularneighborhood when a first user of a particular neighborhood thatverifies a first residential address of the particular neighborhoodusing the privacy server 2900 prior to other users in that particularneighborhood verifying their addresses in that particular neighborhoodplaces a set of points defining the particular neighborhood using a setof drawing tools in the map view of the online community (e.g., as shownin the social community view 3650 of FIG. 36 formed through theneighborhood network algorithm as described in FIG. 38). The privacyserver 2900 may optionally extend the threshold radial distance to anadjacent boundary of an adjacent neighborhood based a request of theparticular user 2916. The privacy server 2900 may generate a separatelogin to the online community (e.g., as shown in the social communityview 3650 of FIG. 36 formed through the neighborhood network algorithmas described in FIG. 38) designed to be usable by a police department, amunicipal agency, a neighborhood association, and/or a neighborhoodleader associated with the particular neighborhood.

The separate login may permit the police department, the municipalagency, the neighborhood association, and/or the neighborhood leader to:(1) invite residents of the particular neighborhood themselves (e.g.,see the user interface view of FIG. 22) using the privacy server 2900using a self-authenticating access code that permits new users thatenter the self-authenticating access code in the online community (e.g.,as shown in the social community view 3650 of FIG. 36 formed through theneighborhood network algorithm as described in FIG. 38) to automaticallyjoin the particular neighborhood as verified users (e.g., the verifieduser 4110 of FIG. 41A), (2) generate a virtual neighborhood watch groupand/or an emergency preparedness group restricted to users verified inthe particular neighborhood using the privacy server 2900, (3) conducthigh value crime and/or safety related discussions from local policeand/or fire officials that is restricted to users verified in theparticular neighborhood using the privacy server 2900, (4) broadcastinformation across the particular neighborhood, and (5) receive and/ortrack neighborhood level membership and/or activity to identify leadersfrom the restricted group of users verified in the particularneighborhood using the privacy server 2900.

The privacy server 2900 may permit each of the restricted group of usersverified in the particular neighborhood using the privacy server 2900to: (1) share information about a suspicious activity that is likely toaffect several neighborhoods, (2) explain about a lost pet that mighthave wandered into an adjoining neighborhood, (3) rally support fromneighbors 2920 (e.g., such as the neighbor 2920 of FIG. 29) frommultiple neighborhoods to address civic issues, (4) spread informationabout events comprising a local theater production and/or a neighborhoodgarage sale, and/or (5) solicit advice and/or recommendations from therestricted group of users verified in the particular neighborhood and/oroptionally in the adjacent neighborhood.

The privacy server 2900 may flag a neighborhood feed from the particularneighborhood and/or optionally from the adjacent neighborhood as beinginappropriate. The privacy server 2900 may suspend users that repeatedlycommunicate self-promotional messages that are inappropriate as votedbased on a sensibility of any one of the verified users (e.g., theverified user 4110 of FIG. 41A) of the particular neighborhood and/oroptionally from the adjacent neighborhood. The privacy server 2900 maypersonalize which nearby neighborhoods that verified users (e.g., theverified user 4110 of FIG. 41A) are able to communicate through based ona request of the particular user 2916. The privacy server 2900 maypermit the neighborhood leader to communicate privately with leaders ofan adjoining neighborhood to plan and/or organize on behalf of an entireconstituency of verified users (e.g., a plurality of the verified user4110 of FIG. 41A) of the particular neighborhood associated with theneighborhood leader.

The privacy server 2900 may filter feeds to only display messages fromthe particular neighborhood associated with each verified user. Theprivacy server 2900 may restrict posts only in the particularneighborhood to verified users (e.g., the verified user 4110 of FIG.41A) having verified addresses within the neighborhood boundary (e.g.,the claim view 1550 of FIG. 15 describes a claiming process of anaddress). The address verification algorithm (e.g., using verifyalgorithm 3006 of FIG. 30) of the privacy server 2900 utilizes a set ofverification methods to perform verification of the particular user 2916through any of a: (1) a postcard verification method through which theprivacy server 2900 generates a physical postcard that is postal mailedto addresses of requesting users in the particular neighborhood and/orhaving a unique alphanumeric sequence in a form of an access codeprinted thereon which authenticates users that enter the access code toview and/or search privileges in the particular neighborhood of theonline community (e.g., as shown in the social community view 3650 ofFIG. 36 formed through the neighborhood network algorithm as describedin FIG. 38), (2) a credit card verification method through which theprivacy server 2900 verifies the claimable residential address (e.g.,using sub-algorithms of the claimable algorithm 2910 as described inFIG. 31) when at least one a credit card billing address and/or a debitcard billing address is matched with an inputted address through anauthentication services provider, (3) a privately-published access codemethod through which the privacy server 2900 communicates to userprofiles of the police department, the municipal agency, theneighborhood association, and/or the neighborhood leader an instantaccess code that is printable at town hall meetings and/or gatheringssponsored by any one of the police department, the municipal agency, theneighborhood association, and/or the neighborhood leader, (4) a neighborvouching method through which the privacy server 2900 authenticates newusers when existing verified users (e.g., the verified user 4110 of FIG.41A) agree to a candidacy of new users in the particular neighborhood,(5) a phone verification method through which the privacy server 2900authenticates new users whose phone number is matched with an inputtedphone number through the authentication services provider, and (6) asocial security verification method through which the privacy server2900 authenticates new users whose social security number is matchedwith an inputted social security number through the authenticationservices provider.

The privacy server 2900 may initially set the particular neighborhood toa pilot phase status in which the online community (e.g., as shown inthe social community view 3650 of FIG. 36 formed through theneighborhood network algorithm as described in FIG. 38) of theparticular neighborhood is provisionally defined until a minimum numberof users verify their residential addresses in the particularneighborhood through the privacy server 2900. The privacy server 2900may automatically delete profiles of users that remain unverified aftera threshold window of time. The neighborhood communication system 2950may be designed to create private websites to facilitate communicationamong neighbors 2920 (e.g., such as the neighbor 2920 of FIG. 29) and/orbuild stronger neighborhoods.

In another embodiment a method of a neighborhood communication system2950 is described. The method includes applying an address verificationalgorithm (e.g., using verify algorithm 3006 of FIG. 30) associated witheach user of the online community (e.g., as shown in the socialcommunity view 3650 of FIG. 36 formed through the neighborhood networkalgorithm as described in FIG. 38) using a privacy server 2900,verifying that each user lives at a residence associated with aclaimable residential address (e.g., using sub-algorithms of theclaimable algorithm 2910 as described in FIG. 31) of an online community(e.g., as shown in the social community view 3650 of FIG. 36 formedthrough the neighborhood network algorithm as described in FIG. 38)formed through a social community algorithm 2906 of the privacy server2900 using a processor 3902 and a memory (e.g., as described in FIG.39), generating a latitudinal data and a longitudinal data associatedwith each claimable residential address (e.g., using sub-algorithms ofthe claimable algorithm 2910 as described in FIG. 31) of the onlinecommunity (e.g., as shown in the social community view 3650 of FIG. 36formed through the neighborhood network algorithm as described in FIG.38) associated with each user of the online community (e.g., as shown inthe social community view 3650 of FIG. 36 formed through theneighborhood network algorithm as described in FIG. 38), and determininga set of access privileges in the online community (e.g., as shown inthe social community view 3650 of FIG. 36 formed through theneighborhood network algorithm as described in FIG. 38) associated witheach user of the online community (e.g., as shown in the socialcommunity view 3650 of FIG. 36 formed through the neighborhood networkalgorithm as described in FIG. 38) by constraining access in the onlinecommunity (e.g., as shown in the social community view 3650 of FIG. 36formed through the neighborhood network algorithm as described in FIG.38) based on a neighborhood boundary determined using a Bezier curvealgorithm 3040 of the privacy server 2900.

The method may transform the claimable residential address (e.g., usingsub-algorithms of the claimable algorithm 2910 as described in FIG. 31)into a claimed address upon an occurrence of an event. The method mayinstantiate the event when a particular user 2916 is associated with theclaimable residential address (e.g., using sub-algorithms of theclaimable algorithm 2910 as described in FIG. 31) based on averification of the particular user 2916 as living at a particularresidential address (e.g., associated with the residence 2918 of FIG.29) associated with the claimable residential address (e.g., usingsub-algorithms of the claimable algorithm 2910 as described in FIG. 31)using the privacy server 2900.

The method may constrain the particular user 2916 to communicate throughthe online community (e.g., as shown in the social community view 3650of FIG. 36 formed through the neighborhood network algorithm asdescribed in FIG. 38) only with a database of neighbors 2928 (e.g., suchas the neighbor 2920 of FIG. 29) having verified addresses using theprivacy server 2900. The method may define the database of neighbors2928 (e.g., such as the neighbor 2920 of FIG. 29) as other users of theonline community (e.g., as shown in the social community view 3650 ofFIG. 36 formed through the neighborhood network algorithm as describedin FIG. 38) that have each verified their addresses in the onlinecommunity (e.g., as shown in the social community view 3650 of FIG. 36formed through the neighborhood network algorithm as described in FIG.38) using the privacy server 2900 and/or which have each claimedresidential addresses that are in a threshold radial distance from theclaimed address of the particular user 2916.

The method may constrain the threshold radial distance to be less than adistance of the neighborhood boundary using the Bezier curve algorithm3040.

In addition, the method may define a neighborhood boundary to take on avariety of shapes based on an associated geographic connotation, ahistorical connotation, a political connotation, and/or a culturalconnotation of neighborhood boundaries. The method may apply a databaseof constraints (e.g., the databases of FIG. 30 including the placesdatabase 3018) associated with neighborhood boundaries that are imposedon a map view of the online community (e.g., as shown in the socialcommunity view 3650 of FIG. 36 formed through the neighborhood networkalgorithm as described in FIG. 38) when permitting the neighborhoodboundary to take on the variety of shapes.

The method may generate a user-generated boundary in a form of a polygondescribing geospatial boundaries defining the particular neighborhoodwhen a first user of a particular neighborhood that verifies a firstresidential address of the particular neighborhood using the privacyserver 2900 prior to other users in that particular neighborhoodverifying their addresses in that particular neighborhood places a setof points defining the particular neighborhood using a set of drawingtools in the map view of the online community (e.g., as shown in thesocial community view 3650 of FIG. 36 formed through the neighborhoodnetwork algorithm as described in FIG. 38). The method may optionallyextend the threshold radial distance to an adjacent boundary of anadjacent neighborhood based a request of the particular user 2916.

The method may generate a separate login to the online community (e.g.,as shown in the social community view 3650 of FIG. 36 formed through theneighborhood network algorithm as described in FIG. 38) designed to beusable by a police department, a municipal agency, a neighborhoodassociation, and/or a neighborhood leader associated with the particularneighborhood.

The method may permit the police department, the municipal agency, theneighborhood association, and/or the neighborhood leader to: (1) inviteresidents of the particular neighborhood themselves (e.g., see the userinterface view of FIG. 22) using the privacy server 2900 using aself-authenticating access code that permits new users that enter theself-authenticating access code in the online community (e.g., as shownin the social community view 3650 of FIG. 36 formed through theneighborhood network algorithm as described in FIG. 38) to automaticallyjoin the particular neighborhood as verified users (e.g., the verifieduser 4110 of FIG. 41A), (2) generate a virtual neighborhood watch groupand/or an emergency preparedness group restricted to users verified inthe particular neighborhood using the privacy server 2900, (3) conducthigh value crime and/or safety related discussions from local policeand/or fire officials that is restricted to users verified in theparticular neighborhood using the privacy server 2900, (4) broadcastinformation across the particular neighborhood, and/or (5) receiveand/or track neighborhood level membership and/or activity to identifyleaders from the restricted group of users verified in the particularneighborhood using the privacy server 2900.

The method may permit each of the restricted group of users verified inthe particular neighborhood using the privacy server 2900 to: (1) shareinformation about a suspicious activity that is likely to affect severalneighborhoods, (2) explain about a lost pet that might have wanderedinto an adjoining neighborhood, (3) rally support from neighbors 2920(e.g., such as the neighbor 2920 of FIG. 29) from multiple neighborhoodsto address civic issues, (4) spread information about events comprisinga local theater production and/or a neighborhood garage sale, and/or (5)solicit advice and/or recommendations from the restricted group of usersverified in the particular neighborhood and/or optionally in theadjacent neighborhood.

The method may flag a neighborhood feed from the particular neighborhoodand/or optionally from the adjacent neighborhood as being inappropriate.The method may suspend users that repeatedly communicateself-promotional messages that are inappropriate as voted based on asensibility of any one of the verified users (e.g., the verified user4110 of FIG. 41A) of the particular neighborhood and/or optionally fromthe adjacent neighborhood. The method may personalize which nearbyneighborhoods that verified users (e.g., the verified user 4110 of FIG.41A) are able to communicate through based on a request of theparticular user 2916. The method may permit the neighborhood leader tocommunicate privately with leaders of an adjoining neighborhood to planand/or organize on behalf of an entire constituency of verified users ofthe particular neighborhood associated with the neighborhood leader.

The method may filter feeds to only display messages from the particularneighborhood associated with each verified user. The method may restrictposts only in the particular neighborhood to verified users (e.g., theverified user 4110 of FIG. 41A) having verified addresses within theneighborhood boundary (e.g., the claim view 1550 of FIG. 15 describes aclaiming process of an address). The method may utilize a set ofverification methods to perform verification of the particular user 2916through: (1) generating a physical postcard that is postal mailed toaddresses of requesting users in the particular neighborhood and/orhaving a unique alphanumeric sequence in a form of an access codeprinted thereon which authenticates users that enter the access code toview and/or search privileges in the particular neighborhood of theonline community (e.g., as shown in the social community view 3650 ofFIG. 36 formed through the neighborhood network algorithm as describedin FIG. 38). (2) verifying the claimable residential address (e.g.,using sub-algorithms of the claimable algorithm 2910 as described inFIG. 31) when at least one a credit card billing address and/or a debitcard billing address is matched with an inputted address through anauthentication services provider. (3) communicating to user profiles ofthe police department, the municipal agency, the neighborhoodassociation, and/or the neighborhood leader an instant access code thatis printable at town hall meetings and/or gatherings sponsored by anyone of the police department, the municipal agency, the neighborhoodassociation, and/or the neighborhood leader. (4) authenticating newusers when existing verified users (e.g., the verified user 4110 of FIG.41A) agree to a candidacy of new users in the particular neighborhood.(5) authenticating new users whose phone number is matched with aninputted phone number through the authentication services provider. (6)authenticating new users whose social security number is matched with aninputted social security number through the authentication servicesprovider.

The method may initially set the particular neighborhood to a pilotphase status in which the online community (e.g., as shown in the socialcommunity view 3650 of FIG. 36 formed through the neighborhood networkalgorithm as described in FIG. 38) of the particular neighborhood isprovisionally defined until a minimum number of users verify theirresidential addresses in the particular neighborhood through the privacyserver 2900. The method may automatically delete profiles of users thatremain unverified after a threshold window of time. The neighborhoodcommunication system 2950 may be designed to create private websites tofacilitate communication among neighbors 2920 (e.g., such as theneighbor 2920 of FIG. 29) and/or build stronger neighborhoods.

In yet another embodiment, another neighborhood communication system2950 is described. This embodiment includes a privacy server 2900 toapply an address verification algorithm (e.g., using verify algorithm3006 of FIG. 30) associated with each user of the online community(e.g., as shown in the social community view 3650 of FIG. 36 formedthrough the neighborhood network algorithm as described in FIG. 38) toverify that each user lives at a residence associated with a claimableresidential address (e.g., using sub-algorithms of the claimablealgorithm 2910 as described in FIG. 31) of an online community (e.g., asshown in the social community view 3650 of FIG. 36 formed through theneighborhood network algorithm as described in FIG. 38) formed through asocial community algorithm 2906 of the privacy server 2900 using aprocessor 3902 and a memory (e.g., as described in FIG. 39), a network2904, and a mapping server 2926 (e.g., providing global map data)communicatively coupled with the privacy server 2900 through the network2904 to generate a latitudinal data and a longitudinal data associatedwith each claimable residential address (e.g., using sub-algorithms ofthe claimable algorithm 2910 as described in FIG. 31) of the onlinecommunity (e.g., as shown in the social community view 3650 of FIG. 36formed through the neighborhood network algorithm as described in FIG.38) associated with each user of the online community (e.g., as shown inthe social community view 3650 of FIG. 36 formed through theneighborhood network algorithm as described in FIG. 38). The privacyserver 2900 automatically determines a set of access privileges in theonline community (e.g., as shown in the social community view 3650 ofFIG. 36 formed through the neighborhood network algorithm as describedin FIG. 38) associated with each user of the online community (e.g., asshown in the social community view 3650 of FIG. 36 formed through theneighborhood network algorithm as described in FIG. 38) by constrainingaccess in the online community (e.g., as shown in the social communityview 3650 of FIG. 36 formed through the neighborhood network algorithmas described in FIG. 38) based on a neighborhood boundary determinedusing a Bezier curve algorithm 3040 of the privacy server 2900 in thisembodiment.

In addition, in this yet another embodiment the privacy server 2900transforms the claimable residential address (e.g., using sub-algorithmsof the claimable algorithm 2910 as described in FIG. 31) into a claimedaddress upon an occurrence of an event. The privacy server 2900instantiates the event when a particular user 2916 is associated withthe claimable residential address (e.g., using sub-algorithms of theclaimable algorithm 2910 as described in FIG. 31) based on averification of the particular user 2916 as living at a particularresidential address (e.g., associated with the residence 2918 of FIG.29) associated with the claimable residential address (e.g., usingsub-algorithms of the claimable algorithm 2910 as described in FIG. 31)using the privacy server 2900 in this yet another embodiment. Theprivacy server 2900 constrains the particular user 2916 to communicatethrough the online community (e.g., as shown in the social communityview 3650 of FIG. 36 formed through the neighborhood network algorithmas described in FIG. 38) only with a database of neighbors 2928 (e.g.,such as the neighbor 2920 of FIG. 29) having verified addresses usingthe privacy server 2900 in this yet another embodiment. The privacyserver 2900 defines the database of neighbors 2928 (e.g., such as theneighbor 2920 of FIG. 29) as other users of the online community (e.g.,as shown in the social community view 3650 of FIG. 36 formed through theneighborhood network algorithm as described in FIG. 38) that have eachverified their addresses in the online community (e.g., as shown in thesocial community view 3650 of FIG. 36 formed through the neighborhoodnetwork algorithm as described in FIG. 38) using the privacy server 2900and which have each claimed residential addresses that are in athreshold radial distance from the claimed address of the particularuser 2916 in this yet another embodiment.

FIG. 29 is a system view of a privacy server 2900 communicating withneighborhood(s) 2902A-N through a network 2904, an advertiser(s) 2924, amapping server 2926, an a database of neighbors 2928 (e.g., occupantdata), according to one embodiment. Particularly FIG. 29 illustrates theprivacy server 2900, the neighborhood 2902A-N, the network 2904,advertiser(s) 2924, mapping server 2926, and the database of neighbors2928 (e.g., occupant data), according to one embodiment. The privacyserver 2900 may contain a social community algorithm 2906, a searchalgorithm 2908, a claimable algorithm 2910, a commerce algorithm 2912,and a map algorithm 2914. The neighborhood may include a user 2916, acommunity center 2921, a residence 2918, a neighbor 2920 and a business2922, according to one embodiment.

The privacy server 2900 may include any number of neighborhoods havingregistered users and/or unregistered users. The neighborhood(s) 2902 maybe a geographically localized community in a larger city, town, and/orsuburb. The network 2904 (e.g., the network 104 of FIG. 1) may be searchengines, blogs, social networks, professional networks and staticwebsite that may unite individuals, groups and/or community. The socialcommunity algorithm 2906 may generate a building creator in which theregistered users may create and/or modify empty claimable profiles(e.g., a claimable profile 4006 of FIG. 40B-41A, a claimable profile4102 of FIG. 41A, a claimable profile 1704 of FIG. 17). The searchalgorithm 2908 may include searching of information of an individual,group and/or community.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30), as a function/algorithm of theemergency response server, may determine the location of the user 2916,the distance between the user 2916 and other verified users (e.g., theverified user 4110 of FIG. 41A), and the distance between the user 2916and locations of interest. With that information, the social communityalgorithm 2906 (e.g., that applies the Bezier curve algorithm 3040 ofFIG. 30 using a series of algorithms working in concert as described inFIG. 30) may further determine which verified users (e.g., the verifieduser 4110 of FIG. 41A) are within a predetermined vicinity of a user2916. This set of verified users within the vicinity of another verifieduser may then be determined to be receptive to broadcasts transmitted bythe user 2916 and to be available as transmitters of broadcasts to theuser 2916.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) in effect may create a link betweenverified users of the network 2904 (e.g., the network 104) that allowsthe users to communicate with each other, and this link may be based onthe physical distance between the users as measured relative to acurrent geospatial location of the device (e.g., the device 1806, thedevice 1808 of FIG. 18) with a claimed and verified (e.g., through averification mechanism such as a postcard verification, a utility billverification, and/or a vouching of the user with other users)non-transitory location (e.g., a home location, a work location) of theuser and/or other users. In an alternate embodiment, the transitorylocation of the user (e.g., their current location, a current locationof their vehicle and/or mobile phone) and/or the other users may also beused by the radial algorithm (e.g., the Bezier curve algorithm 3040 ofFIG. 30) to determine an appropriate threshold distance for broadcastinga message.

Furthermore, the social community algorithm 2906 (e.g., that applies theBezier curve algorithm 3040 of FIG. 30 using a series of algorithmsworking in concert as described in FIG. 30) may automatically update aset of pages associated with profiles of individuals and/or businessesthat have not yet joined the network based on preseeded addressinformation. In effect, the social community algorithm 2906 (e.g., thatapplies the Bezier curve algorithm 3040 of FIG. 30 using a series ofalgorithms working in concert as described in FIG. 30) may updatepreseeded pages in a geo-constrained radial distance from where abroadcast originates (e.g., using an epicenter calculated from thecurrent location of the device (e.g., the device 1806, the device 1808of FIG. 18) (e.g., a mobile version of the device 1806 of FIG. 18 (e.g.,a mobile phone, a tablet computer) with information about theneighborhood broadcast data. In effect, through this methodology, thesocial community algorithm 2906 (e.g., the community network algorithm106) may leave ‘inboxes’ and/or post ‘alerts’ on pages created for usersthat have not yet signed up based on a confirmed address of the usersthrough a public and/or a private data source (e.g., from Infogroup®,from a white page directory, etc.).

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) of the privacy server 2900 may bedifferent from previous implementations because it is the firstimplementation to simulate the experience of local radio transmissionbetween individuals using the internet and non-radio network technologyby basing their network broadcast range on the proximity of verifiedusers to one another, according to one embodiment.

The Bezier curve algorithm 3040 may operate as follows, according to oneembodiment. The radial algorithm (e.g., the Bezier curve algorithm 3040of FIG. 30) may utilize a radial distribution function (e.g., a paircorrelation function)g(r)

In the neighborhood communication system 2950. The radial distributionfunction may describe how density varies as a function of distance froma user 2916, according to one embodiment.

If a given user 2916 is taken to be at the origin O (e.g., theepicenter), and ifρ=N/Vis the average number density of recipients (e.g., other users of theneighborhood communication system 2950 such as neighbors 2920 of FIG.29) in the neighborhood communication system 2950, then the localtime-averaged density at a distance r from O isρg(r)according to one embodiment. This simplified definition may hold for ahomogeneous and isotropic type of recipients (e.g., other users of theneighborhood communication system 2950 such as neighbors 2920 of FIG.29), according to one embodiment of the Bezier curve algorithm 3040.

A more anisotropic distribution (e.g., exhibiting properties withdifferent values when measured in different directions) of therecipients (e.g., other users of the neighborhood communication system2950 such as neighbors 2920 of FIG. 29) will be described below,according to one embodiment of the Bezier curve algorithm 3040. Insimplest terms it may be a measure of the probability of finding arecipient at a distance of r away from a given user 2916, relative tothat for an ideal distribution scenario, according to one embodiment.The anisotropic algorithm involves determining how many recipients(e.g., other users of the neighborhood communication system 2950 such asneighbors 2920 of FIG. 29) are within a distance of r and r+dr away fromthe user 2916, according to one embodiment. The Bezier curve algorithm3040 may be determined by calculating the distance between all userpairs and binning them into a user histogram, according to oneembodiment.

The histogram may then be normalized with respect to an ideal user atthe origin o, where user histograms are completely uncorrelated,according to one embodiment. For three dimensions (e.g., such as abuilding representation in the privacy server 2900 in which there aremultiple residents in each floor), this normalization may be the numberdensity of the system multiplied by the volume of the spherical shell,which mathematically can be expressed asg(r)_(I)=4πr ² ρdr,where ρ may be the user density, according to one embodiment of theBezier curve algorithm 3040.

The radial distribution function of the Bezier curve algorithm 3040 canbe computed either via computer simulation methods like the Monte Carlomethod, or via the Ornstein-Zernike equation, using approximativeclosure relations like the Percus-Yevick approximation or theHypernetted Chain Theory, according to one embodiment.

This may be important because by confining the broadcast reach of averified user in the neighborhood communication system 2950 to aspecified range, the social community algorithm 2906 (e.g., that appliesthe Bezier curve algorithm 3040 of FIG. 30 using a series of algorithmsworking in concert as described in FIG. 30) may replicate the experienceof local radio broadcasting and enable verified users to communicateinformation to their immediate neighbors as well as receive informationfrom their immediate neighbors in areas that they care about, accordingto one embodiment. Such methodologies can be complemented withhyperlocal advertising targeted to potential users of the privacy server2900 on preseeded profile pages and/or active user pages of the privacyserver 2900. Advertisement communications thus may become highlyspecialized and localized resulting in an increase in their value andinterest to the local verified users of the network through the privacyserver 2900. For example, advertisers may wish to communicate helpfulhome security devices to a set of users located in a geospatial areawith a high concentration of home break-in broadcasts.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may also have wide application as itmay solve the problem of trying to locate a receptive audience to averified user's broadcasts, whether that broadcast may a personalemergency, an one's personal music, an advertisement for a car for sale,a solicitation for a new employee, and/or a recommendation for a goodrestaurant in the area. This social community algorithm 2906 (e.g., thatapplies the Bezier curve algorithm 3040 of FIG. 30 using a series ofalgorithms working in concert as described in FIG. 30) may eliminateunnecessarily broadcasting that information to those who are notreceptive to it, both as a transmitter and as a recipient of thebroadcast. The radial algorithm (e.g., the Bezier curve algorithm 3040of FIG. 30) saves both time (which may be critical and limited in anemergency context) and effort of every user involved by transmittinginformation only to areas that a user cares about, according to oneembodiment.

In effect, the radial algorithm (e.g., the Bezier curve algorithm 3040of FIG. 30) of the emergency response server enables users to notifypeople around locations that are cared about (e.g., around where theylive, work, and/or where they are physically located). In oneembodiment, the user 2916 can be provided ‘feedback’ and/or acommunication that the neighbor 2920 may be responding to the emergencyafter the neighborhood broadcast data may be delivered to the recipients(e.g., other users of the neighborhood communication system 2950 such asneighbors 2920 of FIG. 29) and/or to the neighborhood services using thesocial community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) of the privacy server 2900. Forexample, after the neighborhood broadcast data may be delivered, thedevice (e.g., the device 1806, the device 1808 of FIG. 18) (e.g., amobile version of the device 1806 of FIG. 18 (e.g., a mobile phone, atablet computer)) may display a message saying: “3256 neighbors around a1 radius from you have been notified on their profile pages of yourcrime broadcast in Menlo Park and 4 people are responding” and/or “8356neighbors and two hospitals around a 2.7 radius from you have beennotified of your medical emergency.”

The various embodiments described herein of the privacy server 2900using the social community algorithm 2906 (e.g., that applies the Beziercurve algorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may solve a central problem of internetradio service providers (e.g., Pandora) by retaining culturalsignificance related to a person's locations of association. Forexample, the social community algorithm 2906 (e.g., that applies theBezier curve algorithm 3040 of FIG. 30 using a series of algorithmsworking in concert as described in FIG. 30) may be used to ‘create’ newradio stations, television stations, and/or mini alert broadcasts to ageospatially constrained area on one end, and provide a means for those‘tuning in’ to consume information posted in a geospatial area that thelistener cares about and/or associates themselves with. The informationprovided can be actionable in that the user 2916 may be able to securenew opportunities through face to face human interaction and physicalmeeting not otherwise possible in internet radio scenarios.

The radial algorithm (e.g., the Bezier curve algorithm 3040 of FIG. 30)may be a set of instructions that may enable users (e.g., verifiedusers, non-verified users) of the Nextdoor.com and Fatdoor.com websitesand applications to broadcast their activities (e.g., garage sale,t-shirt sale, crime alert) to surrounding neighbors within a claimedneighborhood and to guests of a claimed neighborhood, according to oneembodiment. The radial algorithm (e.g., the Bezier curve algorithm 3040of FIG. 30) may be new because current technology does not allow forusers of a network (e.g., Nextdoor.com, Fatdoor.com) to locallybroadcast their activity to a locally defined geospatial area. With theradial algorithm (e.g., the Bezier curve algorithm 3040 of FIG. 30),users of the network may communicate with one another in a locallydefined manner, which may present more relevant information andactivities, according to one embodiment. For example, if a verified userof the network broadcasts an emergency, locally defined neighbors of theverified user may be much more interested in responding than if theyobserved an emergency on a general news broadcast on traditional radio,according to one embodiment. The social community algorithm 2906 (e.g.,the community network algorithm 106 of FIG. 1) may solve the problem ofneighbors living in the locally defined geospatial area who don'ttypically interact, and allows them to connect within a virtual spacethat did not exist before, according to one embodiment. Community boards(e.g., stolen or missing item boards) may have been a primary method ofdistributing content in a surrounding neighborhood effectively prior tothe disclosures described herein. However, there was no way to easilydistribute content related to exigent circumstances and/or with urgencyin a broadcast-like manner to those listening around a neighborhoodthrough mobile devices until the various embodiments applying the socialcommunity algorithm 2906 as described herein.

A Bezier curve algorithm 3040 may be a method of calculating a sequenceof operations, and in this case a sequence of radio operations,according to one embodiment. Starting from an initial state and initialinput, the Bezier curve algorithm 3040 describes a computation that,when executed, proceeds through a finite number of well-definedsuccessive states, eventually producing radial patterned distribution(e.g., simulating a local radio station), according to one embodiment.

The privacy server 2900 may solve technical challenges through thesocial community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) by implementing a vigorous screeningprocess to screen out any lewd or vulgar content in one embodiment. Forexample, what may be considered lewd content sometimes could besubjective, and verified users could argue that the operator of theprivacy server 2900 is restricting their constitutional right to freedomof speech (e.g., if the emergency response server is operated by agovernment entity) through a crowd-moderation capability enabled by thesocial community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30), according to one embodiment. In oneembodiment, verified users may sign an electronic agreement to screentheir content and agree that the neighborhood communication system 2950may delete any content that it deems inappropriate for broadcasting,through the social community algorithm 2906 (e.g., that applies theBezier curve algorithm 3040 of FIG. 30 using a series of algorithmsworking in concert as described in FIG. 30) according to one embodiment.For example, it may be determined that a lost item such as a misplacedset of car keys does not qualify as an “emergency” that should bebroadcast.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30), in addition to neighborhood broadcasts(e.g., such as emergency broadcasts), may allow verified users to createand broadcast their own radio show, e.g., music, talk show, commercial,instructional contents, etc., and to choose their neighborhood(s) forbroadcasting based on a claimed location, according to one embodiment.The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may allow users to choose theneighborhoods that they would want to receive the broadcasts, live andrecorded broadcasts, and/or the types and topics (e.g., minor crimes,property crimes, medical emergencies) of broadcasts that interest them.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) based approach of the privacy server2900 may be a completely different concept from the currently existingneighborhood (e.g., geospatial) social networking options. The socialcommunity algorithm 2906 (e.g., that applies the Bezier curve algorithm3040 of FIG. 30 using a series of algorithms working in concert asdescribed in FIG. 30) may also allow the user to create his/her ownradio station, television station and/or other content such as theneighborhood broadcast data and distribute this content around locationsto users and preseeded profiles around them. For example, the user maywish to broadcast their live reporting of a structure fire or intervieweye-witnesses to a robbery. The social community algorithm 2906 (e.g.,that applies the Bezier curve algorithm 3040 of FIG. 30 using a seriesof algorithms working in concert as described in FIG. 30) can allowverified users to create their content and broadcast in the selectedgeospatial area. It also allows verified listeners to listen to only therelevant local broadcasts of their choice.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may be important because it may provideany verified user the opportunity to create his/her own radial broadcastmessage (e.g., can be audio, video, pictorial and/or textual content)and distribute this content to a broad group. Social community algorithm2906 (e.g., that applies the Bezier curve algorithm 3040 of FIG. 30using a series of algorithms working in concert as described in FIG. 30)may also allow verified listeners to listen to any missed livebroadcasts through the prerecorded features, according to oneembodiment. Through this, the social community algorithm 2906 (e.g.,that applies the Bezier curve algorithm 3040 of FIG. 30 using a seriesof algorithms working in concert as described in FIG. 30) changes theway social networks (e.g., Nextdoor®, Fatdoor®, Facebook®, Path®, etc.)operate by enabling location centric broadcasting to regions that a usercares about, according to one embodiment. Social community algorithm2906 (e.g., that applies the Bezier curve algorithm 3040 of FIG. 30using a series of algorithms working in concert as described in FIG. 30)may solve a technical challenge by defining ranges based on a type of anemergency type, a type of neighborhood, and/or boundary condition of aneighborhood by analyzing whether the neighborhood broadcast data may beassociated with a particular kind of recipient, a particularneighborhood, a temporal limitation, and/or through another criteria.

By using the social community algorithm 2906 (e.g., that applies theBezier curve algorithm 3040 of FIG. 30 using a series of algorithmsworking in concert as described in FIG. 30) of the privacy server 2900the user 2916 may be able to filter irrelevant offers and informationprovided by broadcasts. In one embodiment, only the broadcasting user(e.g., the user 2916) may be a verified user to create accountabilityfor a particular broadcast and/or credibility of the broadcaster. Inthis embodiment, recipients (e.g., other users of the neighborhoodcommunication system 2950 such as neighbors 2920 of FIG. 29) of thebroadcast may not need to be verified users of the emergency responsenetwork. By directing traffic and organizing the onslaught ofbroadcasts, the social community algorithm 2906 (e.g., that applies theBezier curve algorithm 3040 of FIG. 30 using a series of algorithmsworking in concert as described in FIG. 30) of the privacy server 2900may be able to identify the origins and nature of each group of incominginformation and locate recipients (e.g., other users of the neighborhoodcommunication system 2950 such as neighbors 2920 of FIG. 29) that arerelevant/interested in the neighborhood broadcast data, maximizing theeffective use of each broadcast. For example, the neighbor 2920 may beable to specify that they own a firearm so that they would be a relevantneighbor 2920 for broadcast data to respond to a school shooting. Inanother example, the neighbor 2920 may specify that they are a medicalprofessional (e.g., paramedic, physician) such that they may receivemedical emergency broadcasts, according to one embodiment.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) of the privacy server 2900 may processthe input data from the device (e.g., the device 1806, the device 1808of FIG. 18) (e.g., a mobile version of the device 1806 of FIG. 18 (e.g.,a mobile phone, a tablet computer)) in order to identify whichnotification(s) to broadcast to which individual(s). This may beseparate from a traditional radio broadcast as it not onlygeographically constrains broadcasters and recipients (e.g., other usersof the neighborhood communication system 2950 such as neighbors 2920 ofFIG. 29) but also makes use of user preferences in order to allowbroadcasters to target an optimal audience and allow recipients (e.g.,other users of the neighborhood communication system 2950 such asneighbors 2920 of FIG. 29) to alter and customize what they consume. Theuser 2916 may associate him/herself with a non-transitory address inorder to remain constantly connected to their neighborhood and/orneighbors even when they themselves or their neighbors are away. TheBezier curve algorithm 3040 may be also unique from a neighborhoodsocial network (e.g., the privacy server 2900) as it permits users tobroadcast emergencies, information, audio, video etc. to other users,allowing users to create their own stations.

In order to implement the social community algorithm 2906 (e.g., thatapplies the Bezier curve algorithm 3040 of FIG. 30 using a series ofalgorithms working in concert as described in FIG. 30), geospatial datamay need to be collected and amassed in order to create a foundation onwhich users may sign up and verify themselves by claiming a specificaddress, associating themselves with that geospatial location. Thesocial community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may then be able to utilize thegeospatial database 2922 to filter out surrounding noise and deliveronly relevant data to recipients (e.g., other users of the neighborhoodcommunication system 2950 such as neighbors 2920 of FIG. 29). In orderto accomplish this, the social community algorithm 2906 (e.g., thatapplies the Bezier curve algorithm 3040 of FIG. 30 using a series ofalgorithms working in concert as described in FIG. 30) may be able toverify the reliability of geospatial coordinates, time stamps, and userinformation associated with the device (e.g., the device 1806, thedevice 1808 of FIG. 18) (e.g., a a mobile version of the device 1806 ofFIG. 18 (e.g., a mobile phone, a tablet computer)). In addition,threshold geospatial radii, private neighborhood boundaries, andpersonal preferences may be established in the privacy server 2900 andaccommodated using the social community algorithm 2906 (e.g., thatapplies the Bezier curve algorithm 3040 of FIG. 30 using a series ofalgorithms working in concert as described in FIG. 30). The geospatialdatabase 2922 may work in concert with the social community algorithm2906 (e.g., that applies the Bezier curve algorithm 3040 of FIG. 30using a series of algorithms working in concert as described in FIG. 30)to store, organize, and manage broadcasts, pushpins, user profiles,preseeded user profiles, metadata, and epicenter locations associatedwith the privacy server 2900 (e.g., a neighborhood social network suchas Fatdoor.com, Nextdoor.com).

The Bezier curve algorithm 3040 may be used to calculate relativedistances between each one of millions of records as associated witheach placed geo-spatial coordinate in the privacy server 2900 (e.g., aneighborhood social network such as Fatdoor.com, Nextdoor.com).Calculations of relative distance between each geospatial coordinate canbe a large computational challenge because of the high number of reads,writes, modify, and creates associated with each geospatial coordinateadded to the privacy server 2900 and subsequent recalculations ofsurrounding geospatial coordinates associated with other users and/orother profile pages based a relative distance away from a newly addedset of geospatial coordinates (e.g., associated with the neighborhoodbroadcast data and/or with other pushpin types). To overcome thiscomputational challenge, the radial algorithm (e.g., the Bezier curvealgorithm 3040 of FIG. 30) may leverage a massively parallel computingarchitecture through which processing functions are distributed across alarge set of processors accessed in a distributed computing systemthrough the network 2904.

In order to achieve the utilization of the massively parallel computingarchitecture in a context of a radial distribution function of a privacyserver 2900, a number of technical challenges have been overcome in atleast one embodiment. Particularly, the social community algorithm 2906constructs a series of tables based on an ordered geospatial rankingbased on frequency of interaction through a set of ‘n’ number of userssimultaneously interacting with the privacy server 2900, in onepreferred embodiment. In this manner, sessions of access between theprivacy server 2900 and users of the privacy server 2900 (e.g., the user2916) may be monitored based on geospatial claimed areas of the user(e.g., a claimed work and/or home location of the user), and/or apresent geospatial location of the user. In this manner, tablesassociated with data related to claimed geospatial areas of the userand/or the present geospatial location of the user may be anticipatorilycached in the memory 2924 to ensure that a response time of the privacyserver 2900 may be not constrained by delays caused by extraction,retrieval, and transformation of tables that are not likely to berequired for a current and/or anticipated set of sessions between usersand the privacy server 2900.

In a preferred embodiment, an elastic computing environment may be usedby the social community algorithm 2906 to provide for increase/decreasesof capacity within minutes of a database function requirement. In thismanner, the social community algorithm 2906 can adapt to workloadchanges based on number of requests of processing simultaneous and/orconcurrent requests associated with neighborhood broadcast data byprovisioning and de-provisioning resources in an autonomic manner, suchthat at each point in time the available resources match the currentdemand as closely as possible.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may be a concept whereby a servercommunicating data to a dispersed group of recipients (e.g., other usersof the neighborhood communication system 2950 such as neighbors 2920 ofFIG. 29) over a network 2904, which may be an internet protocol basedwide area network (as opposed to a network communicating by radiofrequency communications) communicates that data only to ageospatially-constrained group of recipients (e.g., other users of theneighborhood communication system 2950 such as neighbors 2920 of FIG.29). The social community algorithm 2906 (e.g., that applies the Beziercurve algorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may apply a geospatial constraintrelated to a radial distance away from an origin point, or a constraintrelated to regional, state, territory, county, municipal, neighborhood,building, community, district, locality, and/or other geospatialboundaries.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may be new as applied to data travelingover wide area networks using internet protocol topology in a geospatialsocial networking and commerce context, according to one embodiment.While radio broadcasts, by their nature, are transmitted in a radialpattern surrounding the origin point, there may be no known mechanismfor restricting access to the data only to verified users of a servicesubscribing to the broadcast. As applied to wired computer networks,while techniques for applying geospatial constraints have been appliedto search results, and to other limited uses, there has as yet been noapplication of geospatial constraint as applied to the variousembodiments described herein using the social community algorithm 2906(e.g., that applies the Bezier curve algorithm 3040 of FIG. 30 using aseries of algorithms working in concert as described in FIG. 30).

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may be roughly analogous to broadcastradio communications such as a) in broadcast radio, b) in wirelesscomputer networking, and c) in mobile telephony. However, all of thesesystems broadcast their information promiscuously, making the datatransmitted available to anyone within range of the transmitter who maybe equipped with the appropriate receiving device. In contrast, thesocial community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) herein describes a system in whichnetworks are used to transmit data in a selective manner in thatinformation may be distributed around a physical location of homes orbusinesses in areas of interest/relevancy.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may solve a problem of restricting datatransmitted over networks to specific users who are within a specifieddistance from the individual who originates the data. In a broad sense,by enabling commerce and communications that are strictly limited withindefined neighborhood boundaries, the social community algorithm 2906(e.g., that applies the Bezier curve algorithm 3040 of FIG. 30 using aseries of algorithms working in concert as described in FIG. 30) mayenable the privacy server 2900 (e.g., a neighborhood social network suchas Fatdoor.com, Nextdoor.com) communications, attacking the serioussocial conditions of anonymity and disengagement in community thatafflict the nation and, increasingly, the world.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may comprise one or more algorithmsthat instruct the privacy server 2900 to restrict the broadcasting ofthe neighborhood broadcast data to one or more parts of the geospatialarea 117. For example, in the embodiment of FIG. 29, the socialcommunity algorithm 2906 (e.g., that applies the Bezier curve algorithm3040 of FIG. 30 using a series of algorithms working in concert asdescribed in FIG. 30) may instruct the privacy server 2900 to broadcastthe neighborhood broadcast data to the recipients (e.g., other users ofthe neighborhood communication system 2950 such as neighbors 2920 ofFIG. 29) but not to the area outside the threshold radial distance.

In one or more embodiments, the social community algorithm 2906 (e.g.,that applies the Bezier curve algorithm 3040 of FIG. 30 using a seriesof algorithms working in concert as described in FIG. 30) may allow theprivacy server 2900 to function in manner that simulates a traditionalradio broadcast (e.g., using a radio tower to transmit a radio frequencysignal) in that both the privacy server 2900 and the radio broadcast arerestricted in the geospatial scope of the broadcast transmission. In oneor more embodiments, the social community algorithm 2906 (e.g., thatapplies the Bezier curve algorithm 3040 of FIG. 30 using a series ofalgorithms working in concert as described in FIG. 30) may prevent thebroadcast of the neighborhood broadcast data to any geospatial area towhich the user 2916 does not wish to transmit the neighborhood broadcastdata, and/or to users that have either muted and/or selectivelysubscribed to a set of broadcast feeds.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may analyze the neighborhood broadcastdata to determine which recipients (e.g., other users of theneighborhood communication system 2950 such as neighbors 2920 of FIG.29) may receive notification data within the threshold radial distance(e.g., set by the user 2916 and/or auto calculated based on a type ofemergency posting). The social community algorithm 2906 (e.g., thatapplies the Bezier curve algorithm 3040 of FIG. 30 using a series ofalgorithms working in concert as described in FIG. 30) may use a varietyof parameters, including information associated with the neighborhoodbroadcast data (e.g., location of the broadcast, type of broadcast,etc.) to determine the threshold radial distance.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may also determine which verifiedaddresses associated with recipients (e.g., other users of theneighborhood communication system 2950 such as neighbors 2920 of FIG.29) having verified user profiles are located within the thresholdradial distance. The social community algorithm 2906 (e.g., that appliesthe Bezier curve algorithm 3040 of FIG. 30 using a series of algorithmsworking in concert as described in FIG. 30) may then broadcast thenotification data to the profiles and/or mobile devices of the verifiedusers having verified addresses within the threshold radial distance.

The social community algorithm 2906 (e.g., that applies the Bezier curvealgorithm 3040 of FIG. 30 using a series of algorithms working inconcert as described in FIG. 30) may therefore simulate traditionalradio broadcasting (e.g., from a radio station transmission tower) overthe IP network. Thus, the social community algorithm 2906 (e.g., thatapplies the Bezier curve algorithm 3040 of FIG. 30 using a series ofalgorithms working in concert as described in FIG. 30) may allow thebroadcast to include information and data that traditional radiobroadcasts may not be able to convey, for example geospatial coordinatesand/or real-time bi-directional communications. Additionally, the socialcommunity algorithm 2906 (e.g., that applies the Bezier curve algorithm3040 of FIG. 30 using a series of algorithms working in concert asdescribed in FIG. 30) may allow individual users low-entry broadcastcapability without resort to expensive equipment and/or licensing by theFederal Communications Commission (FCC).

Another advantage of this broadcast via the social community algorithm2906 (e.g., that applies the Bezier curve algorithm 3040 of FIG. 30using a series of algorithms working in concert as described in FIG. 30)may be that it may bypass obstructions that traditionally disrupt radiowaves such as mountains and/or atmospheric disturbances. Yet anotheradvantage of the social community algorithm 2906 (e.g., that applies theBezier curve algorithm 3040 of FIG. 30 using a series of algorithmsworking in concert as described in FIG. 30) may be that it may expandthe physical distance of broadcast capability without resort to theexpense ordinarily associated with generating powerful carrier signals.In yet another advantage, the social community algorithm 2906 (e.g.,that applies the Bezier curve algorithm 3040 of FIG. 30 using a seriesof algorithms working in concert as described in FIG. 30) may allow foralmost unlimited channels and/or stations as compared to traditionalradio where only a narrow band of electromagnetic radiation has beenappropriated for use among a small number of entities by governmentregulators (e.g., the FCC).

The claimable algorithm 2910 may enable the registered users to createand/or update their information. A ‘claimable’ (e.g., may be enabledthrough the claimable algorithm 2910) can be defined as a perpetualcollective work of many authors. Similar to a blog in structure andlogic, a claimable allows anyone to edit, delete or modify content thathas been placed on the Web site using a browser interface, including thework of previous authors. In contrast, a blog (e.g., or a social networkpage), typically authored by an individual, may not allow visitors tochange the original posted material, only add comments to the originalcontent. The term claimable refers to either the web site or thesoftware used to create the site. The term ‘claimable’ also implies fastcreation, ease of creation, and community approval in many softwarecontexts (e.g., claimable means “quick” in Hawaiian).

The commerce algorithm may provide an advertisement system to a businessthat may enable the users to purchase location in the neighborhood(s)2902. The map algorithm 2914 (e.g., the map algorithm 108 of FIG. 1) maybe indulged in study, practice, representing and/or generating maps, orglobes. The user 2916 may be an individuals and/or households that maypurchase and/or use goods and services and/or be an active member of anygroup or community and/or resident and/or a part of any neighborhood(s)2902. The residence 2918 may be a house, a place to live and/or like anursing home in a neighborhood(s) 2902.

The community center 2921 may be public locations where members of acommunity may gather for group activities, social support, publicinformation, and other purposes. The business 2922 may be a customerservice, finance, sales, production, communications/public relationsand/or marketing organization that may be located in the neighborhood(s)2902. The advertiser(s) 2924 may be an individual and/or a firm drawingpublic who may be responsible in encouraging the people attention togoods and/or services by promoting businesses, and/or may performthrough a variety of media. The mapping server 2926 may contain thedetails/maps of any area, region and/or neighborhood. The socialcommunity algorithm 2906 of the privacy server 2900 may communicate withthe neighborhood(s) 2902 through the network 2904 and/or the searchalgorithm 2908. The social community algorithm 2906 of the privacyserver 2900 may communicate with the advertiser(s) 2924 through thecommerce algorithm, the database of neighbors 2928 (e.g., occupant data)and/or mapping server 2926 through the map algorithm 2914.

For example, the neighborhoods 2902A-N may have registered users and/orunregistered users of a privacy server 2900. Also, the social communityalgorithm 2906 of the privacy server 2900 may generate a buildingcreator (e.g., building builder 1602 of FIG. 16) in which the registeredusers may create and/or modify empty claimable profiles, buildinglayouts, social network pages, and/or floor levels structures housingresidents and/or businesses in the neighborhood.

In addition, the claimable algorithm 2910 of the privacy server 2900 mayenable the registered users to create a social network page ofthemselves, and/or may edit information associated with the unregisteredusers identifiable through a viewing of physical properties in which,the unregistered users reside when the registered users have knowledgeof characteristics associated with the unregistered users.

Furthermore, the search algorithm 2908 of the privacy server 2900 mayenable a people search (e.g., the people search widget 3100 of FIG. 31),a business search (e.g., the business search algorithm 3102 of FIG. 31),and/or a category search (e.g., the category search widget 3104 of FIG.31) of any data in the social community algorithm 2906 and/or may enableembedding of any content in the privacy server 2900 in other searchengines, blogs, social networks, professional networks and/or staticwebsites.

The commerce algorithm of the privacy server 2900 may provide anadvertisement system to a business who purchase their location in theprivacy server 2900 in which the advertisement may be viewableconcurrently with a map indicating a location of the business, and/or inwhich revenue may be attributed to the privacy server 2900 when theregistered users and/or the unregistered users click-in on asimultaneously displayed data of the advertisement along with the mapindicating a location of the business.

Moreover, a map algorithm 2914 (e.g., the map algorithm 108 of FIG. 1)of the privacy server 2900 may include a map data associated with asatellite data (e.g., generated by the satellite data algorithm 3400 ofFIG. 34) which may serve as a basis of rendering the map in the privacyserver 2900 and/or which includes a simplified map generator which maytransform the map to a fewer color and/or location complex form using aparcel data which identifies some residence, civic, and/or businesslocations in the satellite data.

In addition, a first instruction set may enable a social network toreside above a map data, in which the social network may be associatedwith specific geographical locations identifiable in the map data. Also,a second instruction set integrated with the first instruction set mayenable users of the social network to create profiles of other peoplethrough a forum which provides a free form of expression of the userssharing information about any entities and/or people residing in anygeographical location identifiable in the satellite map data, and/or toprovide a technique of each of the users to claim a geographic location(e.g., a geographic location 29024 of FIG. 40A) to control content intheir respective claimed geographic locations (e.g., a geographiclocation 29024 of FIG. 40A).

Furthermore, a third instruction set integrated with the firstinstruction set and the second instruction set may enable searching ofpeople in the privacy server 2900 by indexing each of the data shared bythe user 2916 of any of the people and/or the entities residing in anygeographic location (e.g., a geographic location 29024 of FIG. 40A). Afourth instruction set may provide a moderation of content about eachother posted of the users 2916 through trusted users of the privacyserver 2900 who have an ability to ban specific users and/or delete anyoffensive and libelous content in the privacy server 2900.

Also, a fifth instruction set may enable an insertion of any contentgenerated in the privacy server 2900 in other search engines through asyndication and/or advertising relationship between the privacy server2900 and/or other internet commerce and search portals.

Moreover, a sixth instruction set may grow the social network throughneighborhood groups, local politicians, block watch communities, issueactivism groups, and neighbor(s) 2920 who invite other known partiesand/or members to share profiles of themselves and/or learncharacteristics and information about other supporters and/or residentsin a geographic area of interest through the privacy server 2900.

Also, a seventh instruction set may determine quantify an effect on atleast one of a desirability of a location, a popularity of a location,and a market value of a location based on an algorithm that considers anumber of demographic and social characteristics of a region surroundingthe location through a reviews algorithm.

FIG. 30 is an exploded view of the social community algorithm 2906 ofFIG. 29, according to one embodiment. Particularly FIG. 30 illustrates abuilding builder algorithm 3000, an N^(th) degree algorithm 3002, atagging algorithm 3004, a verify algorithm 3006, a groups generatoralgorithm 3008, a pushpin algorithm 3010, a profile algorithm 3012, anannounce algorithm 3014, a people database 3016, a places database 3018,a business database 3020, a friend finder algorithm 3022 and aneighbor-neighbor help algorithm 3024, according to one embodiment.

The N^(th) degree algorithm 3002 may enable the particular registereduser to communicate with an unknown registered user through a commonregistered user who may be a friend and/or a member of a commoncommunity. The tagging algorithm 3004 may enable the user 2916 to leavebrief comments on each of the claimable profiles (e.g., the claimableprofile 4006 of FIG. 40B-41A, the claimable profile 4102 of FIG. 41A,the claimable profile 1704 of FIG. 17) and social network pages in theglobal neighborhood environment 1800 (e.g., the privacy server 2900 ofFIG. 29).

The verify algorithm 3006 may validate the data, profiles and/or emailaddresses received from various registered user(s) before any changesmay be included. The groups generator algorithm 3008 may enable theregistered users to form groups may be depending on common interest,culture, style, hobbies and/or caste. The pushpin algorithm 3010 maygenerate customized indicators of different types of users, locations,and interests directly in the map. The profile algorithm 3012 may enablethe user to create a set of profiles of the registered users and tosubmit media content of themselves, identifiable through a map.

The announce algorithm 3014 may distribute a message in a specifiedrange of distance away from the registered users when a registered userpurchases a message to communicate to certain ones of the registeredusers surrounding a geographic vicinity adjacent to the particularregistered user originating the message. The people database 3016 maykeep records of the visitor/users (e.g., a user 2916 of FIG. 29). Theplaces database algorithm 3018 may manage the data related to thelocation of the user (e.g., address of the registered user). Thebusiness database 3020 may manage an extensive list of leadinginformation related to business. The friend finder algorithm 3022 maymatch the profile of the registered user with common interest and/orhelp the registered user to get in touch with new friends oracquaintances.

For example, the verify algorithm 3006 of the social community algorithm2906 of FIG. 29 may authenticate an email address of a registered userprior to enabling the registered user to edit information associatedwith the unregistered users through an email response and/or a digitalsignature technique. The groups generator algorithm 3008 of the socialcommunity algorithm (e.g., the social community algorithm 2906 of FIG.29) may enable the registered users to form groups with each othersurrounding at least one of a common neighborhood (e.g., a neighborhood2902A-N of FIG. 29), political, cultural, educational, professionaland/or social interest.

In addition, the tagging algorithm 3004 of the social communityalgorithm (e.g., the social community algorithm 2906 of FIG. 29) mayenable the registered users and/or the unregistered users to leave briefcomments on each of the claimable profiles (e.g., the claimable profile4006 of FIG. 40B-41A, the claimable profile 4102 of FIG. 41A, theclaimable profile 1704 of FIG. 17) and/or social network pages in theglobal neighborhood environment 1800 (e.g., the privacy server 2900 ofFIG. 29), in which the brief comments may be simultaneously displayedwhen a pointing device rolls over a pushpin indicating a physicalproperty associated with any of the registered users and/or theunregistered users. Also, the pushpin algorithm 3010 of the socialcommunity algorithm 2906 of FIG. 29 may be generating customizedindicators of different types of users, locations, and/or interestsdirectly in the map.

Further, the announce algorithm 3014 of the social community algorithm2906 of FIG. 29 may distribute a message in a specified range ofdistance away from the registered users when a registered user purchasesa message to communicate to certain ones of the registered userssurrounding a geographic vicinity adjacent to the particular registereduser originating the message, wherein the particular registered userpurchases the message through a governmental currency and/or a number oftokens collected by the particular user (e.g. the user 2916 of FIG. 29)through a creation of content in the global neighborhood environment1800 (e.g., the privacy server 2900 of FIG. 29).

In addition, the N^(th) degree algorithm 3002 of the social communityalgorithm 2906 of FIG. 29 may enable the particular registered user tocommunicate with an unknown registered user through a common registereduser known by the particular registered user and/or the unknownregistered user that is an N^(th) degree of separation away from theparticular registered user and/or the unknown registered user.

Moreover, the profile algorithm 3012 of the social community algorithm2906 of FIG. 29 may create a set of profiles of each one of theregistered users and to enable each one of the registered users tosubmit media content of themselves, other registered users, andunregistered users identifiable through the map.

FIG. 31 is an exploded view of the search algorithm 2908 of FIG. 29,according to one embodiment. Particularly FIG. 31 illustrates a peoplesearch widget 300, a business search algorithm 3102, a category searchwidget 3104, a communication algorithm 3106, a directory assistancealgorithm 3108, an embedding algorithm 3110, a no-match algorithm 3112,a range selector algorithm 3114, a chat widget 3116, a groupannouncement widget 3118, a Voice Over IP widget 3120, according to oneembodiment.

The people search widget 3100 may help in getting the information likethe address, phone number and/or e-mail id of the people of particularinterest from a group and/or community. The business search algorithm3102 may help the users (e.g., the user 2916 of FIG. 29) to find thecompanies, products, services, and/or business related information theyneed to know about.

The category search widget 3104 may narrow down searches from a broaderscope (e.g., if one is interested in information from a particularcenter, one can go to the category under the center and enter one'squery there and it will return results from that particular categoryonly). The communication algorithm 3106 may provide/facilitate multipleby which one can communicate, people to communicate with, and subjectsto communicate about among different members of the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29).

The directory assistance algorithm 3108 may provide voice responseassistance to users (e.g., the user 2916 of FIG. 29) assessable througha web and telephony interface of any category, business and searchqueries of user's of any search engine contents. The embedding algorithm3110 may automatically extract address and/or contact info from othersocial networks, search engines, and content providers.

The no-match algorithm 3112 may request additional information from averified registered user (e.g., a verified registered user 4110 of FIG.41A-B, a verified registered user 4110 of FIG. 16) about a person,place, and business having no listing in the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29) when nomatches are found in a search query of the verified registered user(e.g., a verified registered user 4110 of FIG. 41A-B, a verifiedregistered user 4110 of FIG. 16).

The chat widget 3116 may provide people to chat online, which is a wayof communicating by broadcasting messages to people on the same site inreal time. The group announcement widget 3118 may communicate with agroup and/or community in may be by Usenet, Mailing list, calling and/orE-mail message sent to notify subscribers. The Voice over IP widget 3120may help in routing of voice conversations over the Internet and/orthrough any other IP-based network. The communication algorithm 3106 maycommunicate directly with the people search widget 3001, the businesssearch algorithm 3102, the category search widget 3104, the directoryassistance algorithm 3108, the embedding algorithm 3110 may communicatewith the no-match algorithm 3112 through the range selector algorithm3114.

For example, a search algorithm 2908 of the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29) may enablethe people search, the business search, and the category search of anydata in the social community algorithm (e.g., the social communityalgorithm 2906 of FIG. 29) and/or may enable embedding of any content inthe global neighborhood environment 1800 (e.g., the privacy server 2900of FIG. 29) in other search engines, blogs, social networks,professional networks and/or static websites.

In addition, the communicate algorithm 3106 of the search algorithm 2906may enable voice over internet, live chat, and/or group announcementfunctionality in the global neighborhood environment 1800 (e.g., theprivacy server 2900 of FIG. 29) among different members of the globalneighborhood environment 1800 (e.g., the privacy server 2900 of FIG.29).

Also, the directory assistance algorithm 3108 of the search algorithm2908 may provide voice response assistance to users (e.g., the user 2916of FIG. 29) assessable through a web and/or telephony interface of anycategory, business, community, and residence search queries of users(e.g., the user 2916 of FIG. 29) of any search engine embedding contentof the global neighborhood environment 1800 (e.g., the privacy server2900 of FIG. 29).

The embedding algorithm 3110 of the search algorithm 2908 mayautomatically extract address and/or contact info from other socialnetworks, search engines, and content providers, and/or to enableautomatic extraction of group lists from contact databases of instantmessaging platforms.

Furthermore, the no-match algorithm 3112 of the search algorithm 2908 torequest additional information from the verified registered user (e.g.,the verified registered user 4110 of FIG. 41A-B) about a person, place,and/or business having no listing in the global neighborhood environment1800 (e.g., the privacy server 2900 of FIG. 29) when no matches arefound in a search query of the verified registered user (e.g., theverified registered user 4110 of FIG. 41A-B, the verified registereduser 4110 of FIG. 16) and to create a new claimable page based on aresponse of the verified registered user (e.g., the verified registereduser 4110 of FIG. 41A-B, the verified registered user 4110 of FIG. 16)about the at least one person, place, and/or business not previouslyindexed in the global neighborhood environment 1800 (e.g., the privacyserver 2900 of FIG. 29).

FIG. 32 is an exploded view of the claimable algorithm 2910 of FIG. 29,according to one embodiment. Particularly FIG. 32 illustrates auser-place claimable algorithm 3200, a user-user claimable algorithm3202, a user-neighbor claimable algorithm 3204, a user-businessclaimable algorithm 3206, a reviews algorithm 3208, a defamationprevention algorithm 3210, a claimable-social network conversionalgorithm 3212, a claim algorithm 3214, a data segment algorithm 3216, adispute resolution algorithm 3218 and a media manage algorithm 3220,according to one embodiment.

The user-place claimable algorithm 3200 may manage the information ofthe user (e.g., the user 2916 of FIG. 29) location in the globalneighborhood environment 1800 (e.g., the privacy server 2900 of FIG.29). The user-user claimable algorithm 3202 may manage the user (e.g.,the user 2916 of FIG. 29) to view a profile of another user andgeographical location in the neighborhood. The user-neighbor claimablealgorithm 3204 may manage the user (e.g., the users 2916 of FIG. 29) toview the profile of the registered neighbor and/or may trace thegeographical location of the user in the global neighborhood environment1800 (e.g., the privacy server 2900 of FIG. 29). The user-businessclaimable algorithm 3206 may manage the profile of the user (e.g., theuser 2916 of FIG. 29) managing a commercial business in the neighborhoodenvironment. The reviews algorithm 3208 may provide remarks, localreviews and/or ratings of various businesses as contributed by the users(e.g., the user 2916 of FIG. 29) of the global neighborhood environment1800 (e.g., the privacy server 2900 of FIG. 29). The defamationprevention algorithm 3210 may enable the registered users to modify theinformation associated with the unregistered users identifiable throughthe viewing of the physical properties.

The claimable-social network conversion algorithm 3212 of the claimablealgorithm 2910 of FIG. 29 may transform the claimable profiles (e.g.,the claimable profile 4006 of FIG. 40B-41A, the claimable profile 4102of FIG. 41A, the claimable profile 1704 of FIG. 17) to social networkprofiles when the registered users claim the claimable profiles (e.g.,the claimable profile 4006 of FIG. 40B-41A, the claimable profile 4102of FIG. 41A, the claimable profile 1704 of FIG. 17).

The claim algorithm 3214 may enable the unregistered users to claim thephysical properties associated with their residence (e.g., the residence2918 of FIG. 29). The dispute resolution algorithm 3218 may determine alegitimate user among different unregistered users who claim a samephysical property. The media manage algorithm 3220 may allow users(e.g., the user 2916 of FIG. 29) to manage and/or review a list anyproduct from product catalog using a fully integrated, simple to useinterface.

The media manage algorithm 3220 may communicate with the user-placeclaimable algorithm 3200, user-place claimable algorithm 3200, user-userclaimable algorithm 3202, the user-neighbor claimable algorithm 3204 andthe reviews algorithm 3208 through user-business claimable algorithm3206. The user-place claimable algorithm 3200 may communicate with thedispute resolution algorithm 3218 through the claim algorithm 3214. Theuser-user claimable algorithm 3202 may communicate with the data segmentalgorithm 3216 through the claimable-social network conversion algorithm3212. The user-neighbor claimable algorithm 3204 may communicate withthe defamation prevention algorithm 3210. The user-business claimablealgorithm 3206 may communicate with the reviews algorithm 3208. Theclaimable-social network conversion algorithm 3212 may communicate withthe claim algorithm 3214.

For example, the claimable algorithm 2910 of the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29) may enablethe registered users to create the social network page of themselves,and may edit information associated with the unregistered usersidentifiable through a viewing of physical properties in which theunregistered users reside when the registered users have knowledge ofcharacteristics associated with the unregistered users. Also, the claimalgorithm 3214 of claimable algorithm 2910 may enable the unregisteredusers to claim the physical properties associated with their residence.

Furthermore, the dispute resolution algorithm 3218 of the claimablealgorithm 2910 may determine a legitimate user of different unregisteredusers who claim a same physical property. The defamation preventionalgorithm 3210 of the claimable algorithm 2910 may enable the registeredusers to modify the information associated with the unregistered usersidentifiable through the viewing of the physical properties, and/or toenable registered user voting of an accuracy of the informationassociated with the unregistered users.

Moreover, the reviews algorithm of the claimable algorithm 2910 mayprovide comments, local reviews and/or ratings of various businesses ascontributed by the registered users and/or unregistered users of theglobal network environment (e.g., the privacy server 2900 of FIG. 29).The claimable-social network conversion algorithm 3212 of the claimablealgorithm 2910 of FIG. 29 may transform the claimable profiles (e.g.,the claimable profile 4006 of FIG. 40B-41A, the claimable profile 4102of FIG. 41A, the claimable profile 1704 of FIG. 17) to social networkprofiles when the registered users claim the claimable profiles (e.g.,the claimable profile 4006 of FIG. 40B-41A, the claimable profile 4102of FIG. 41A, the claimable profile 1704 of FIG. 17).

FIG. 33 is an exploded view of the commerce algorithm of FIG. 29,according to one embodiment. Particularly FIG. 33 illustrates a residentannounce payment algorithm 3300, a business display advertisementalgorithm 3302, a geo position advertisement ranking algorithm 3304, acontent syndication algorithm 3306, a text advertisement algorithm 3308,a community marketplace algorithm 3310, a click-in tracking algorithm3312, a click-through tracking algorithm 3314, according to oneembodiment.

The community marketplace algorithm 3310 may contain garage sales 3316,a free stuff 3318, a block party 3320 and a services 3322, according toone embodiment. The geo-position advertisement ranking algorithm 3304may determine an order of the advertisement in a series of otheradvertisements provided in the global neighborhood environment 1800(e.g., the privacy server 2900 of FIG. 29) by other advertisers. Theclick-through tracking algorithm 3314 may determine a number ofclicks-through from the advertisement to a primary website of thebusiness.

A click-in tracking algorithm 3312 may determine a number of user (e.g.,the user 2916 of FIG. 29) who clicked in to the advertisementsimultaneously. The community marketplace algorithm 3310 may provide aforum in which the registered users can trade and/or announce messagesof trading events with at least each other. The content syndicationalgorithm 3306 may enable any data in the commerce algorithm (e.g., thecommerce algorithm of FIG. 29) to be syndicated to other network basedtrading platforms.

The business display advertisement algorithm 3302 may impartadvertisements related to business (e.g., the business 2922 of FIG. 29),public relations, personal selling, and/or sales promotion to promotecommercial goods and services. The text advertisement algorithm 3308 mayenable visibility of showing advertisements in the form of text in alldynamically created pages in the directory. The resident announcepayment algorithm 3300 may take part as component in a broader andcomplex process, like a purchase, a contract, etc.

The block party 3320 may be a large public celebration in which manymembers of a single neighborhood (e.g., the neighborhood 2902A-N of FIG.29) congregate to observe a positive event of some importance. The freestuff 3318 may be the free services (e.g., advertisement, links, etc.)available on the net. The garage sales 3316 may be services that may bedesigned to make the process of advertising and/or may find a garagesale more efficient and effective. The services 3322 may be non-materialequivalent of a good designed to provide a list of services that may beavailable for the user (e.g., the user 2916 of FIG. 29).

The geo position advertisement ranking algorithm 3304 may communicatewith the resident announce payment algorithm 3300, the business displayadvertisement algorithm 3302, the content syndication algorithm 3306,the text advertisement algorithm 3308, the community marketplacealgorithm 3310, the click-in tracking algorithm 3312 and theclick-through tracking algorithm 3314.

For example, the commerce algorithm 2908 of the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29) may providean advertisement system to a business which may purchase their locationin the global neighborhood environment 1800 (e.g., the privacy server2900 of FIG. 29) in which the advertisement may be viewable concurrentlywith a map indicating a location of the business, and/or in whichrevenue may be attributed to the global neighborhood environment 1800(e.g., the privacy server 2900 of FIG. 29) when the registered usersand/or the unregistered users click-in on a simultaneously displayeddata of the advertisement along with the map indicating a location ofthe business.

Also, the geo-position advertisement ranking algorithm 3304 of thecommerce algorithm to determine an order of the advertisement in aseries of other advertisements provided in the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29) by otheradvertisers, wherein the advertisement may be a display advertisement, atext advertisement, and/or an employment recruiting portal associatedwith the business that may be simultaneously displayed with the mapindicating the location of the business.

Moreover, the click-through tracking algorithm 3314 of the commercealgorithm of FIG. 29 may determine a number of click-through from theadvertisement to a primary website of the business. In addition, theclick in tracking algorithm 3312 of the commerce algorithm may determinethe number of users (e.g., the user 2916 of FIG. 29) who clicked in tothe advertisement simultaneously displayed with the map indicating thelocation of the business.

The community marketplace algorithm 3310 of the commerce algorithm ofFIG. 29 may provide a forum in which the registered users may tradeand/or announce messages of trading events with certain registered usersin geographic proximity from each other.

Also, the content syndication algorithm 3306 of the commerce algorithmof the FIG. 29 may enable any data in the commerce algorithm to besyndicated to other network based trading platforms.

FIG. 34 is an exploded view of a map algorithm 2914 of FIG. 29,according to one embodiment. Particularly FIG. 34 may include asatellite data algorithm 3400, a simplified map generator algorithm3402, a cartoon map converter algorithm 3404, a profile pointeralgorithm 3406, a parcel algorithm 3408 and occupant algorithm 3410,according to one embodiment. The satellite data algorithm 3400 may helpin mass broadcasting (e.g., maps) and/or as telecommunications relays inthe map algorithm 2914 of FIG. 29.

The simplified map generator algorithm 3402 may receive the data (e.g.,maps) from the satellite data algorithm 3400 and/or may convert thiscomplex map into a simplified map with fewer colors. The cartoon mapconverter algorithm 3404 may apply a filter to the satellite data (e.g.,data generated by the satellite data algorithm 3400 of FIG. 34) into asimplified polygon based representation.

The parcel algorithm 3408 may identify some residence, civic, andbusiness locations in the satellite data (e.g., the satellite dataalgorithm 3400 of FIG. 34). The occupant algorithm 3410 may detect thegeographical location of the registered user in the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29). The profilepointer algorithm 3406 may detect the profiles of the registered uservia the data received from the satellite. The cartoon map converteralgorithm 3404 may communicate with, the satellite data algorithm 3400,the simplified map generator algorithm 3402, the profile pointeralgorithm 3406 and the occupant algorithm 3410. The parcel algorithm3408 may communicate with the satellite data algorithm 3400.

For example, a map algorithm 2914 of the global neighborhood environment1800 (e.g., the privacy server 2900 of FIG. 29) may include a map dataassociated with a satellite data (e.g., data generated by the satellitedata algorithm 3400 of FIG. 34) which serves as a basis of rendering themap in the global neighborhood environment 1800 (e.g., the privacyserver 2900 of FIG. 29) and/or which includes a simplified map generator(e.g., the simplified map generator algorithm 3402 of FIG. 34) which maytransform the map to a fewer color and location complex form using aparcel data which identifies residence, civic, and business locations inthe satellite data.

Also, the cartoon map converter algorithm 3404 in the map algorithm 2914may apply a filter to the satellite data (e.g., data generated by thesatellite data algorithm 3400 of FIG. 34) to transform the satellitedata into a simplified polygon based representation using a Bezier curvealgorithm that converts point data of the satellite data to a simplifiedform.

FIG. 35 is a table view of user address details, according to oneembodiment. Particularly the table 3550 of FIG. 35 illustrates a userfield 3500, a verified? field 3502, a range field 3504, a principleaddress field 3506, a links field 3508, a contributed? field 3510 and anothers field 3512, according to one embodiment. The table 3550 mayinclude the information related to the address verification of the user(e.g., the user 2916 of FIG. 29). The user field 3500 may includeinformation such as the names of the registered users in a globalneighborhood environment 1800 (e.g., a privacy server 2900 of FIG. 29).

The verified? field 3502 may indicate the status whether the data,profiles and/or email address received from various registered user arevalidated or not. The range field 3504 may correspond to the distance ofa particular registered user geographical location in the globalneighborhood environment 1800 (e.g., the privacy server 2900 of FIG.29).

The principal address field 3506 may display primary address of theregistered user in the global neighborhood environment 1800 (e.g., theprivacy server 2900 of FIG. 29). The links field 3508 may further givemore accurate details and/or links of the address of the user (e.g., theuser 2916 of FIG. 29). The contributed? field 3510 may provide the userwith the details of another individual and/or users contribution towardsthe neighborhood environment (e.g., the privacy server 2900 of FIG. 29).The other(s) field 3512 may display the details like the state, city,zip and/or others of the user's location in the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29).

The user field 3500 displays “Joe” in the first row and “Jane” in thesecond row of the user field 3500 column of the table 3550 illustratedin FIG. 7. The verified field? 3502 displays “Yes” in the first row and“No” in the second row of the verified? field 3502 column of the table3550 illustrated in FIG. 7. The range field 3504 displays “5 miles” inthe first row and “Not enabled” in the second row of the range field3504 column of the table 3550 illustrated in FIG. 7. The principaladdress field 3506 displays “500 Clifford Cupertino, Calif.” in thefirst row and “500 Johnson Cupertino, Calif.” in the second row of theprinciple address field 3506 column of the table 3550 illustrated inFIG. 7. The links field 3508 displays “859 Bette, 854 Bette” in thefirst row and “851 Bette 2900 Steven's Road” in the second row of thelinks field 3508 column of the table 3550 illustrated in FIG. 7.

The contributed? field 3510 displays “858 Bette Cupertino, Calif.,Farallone, Calif.” in the first row and “500 Hamilton, Palo Alto,Calif., 1905E. University” in the second row of the contributed field3510 column of the table 3550 illustrated in FIG. 7. The other(s) field3512 displays “City, State, Zip, other” in the first row of the other(s)field 3512 column of the table 3550 illustrated in FIG. 7.

FIG. 36 is a user interface view of the social community algorithm 2906,according to one embodiment. The social community view 3650 may displaythe information associated with the social community algorithm (e.g.,the social community algorithm 2906 of FIG. 29). The social communityview 3650 may display map of the verified geographic location associatedwith the user profile of the social community algorithm (e.g., thesocial community algorithm 2906 of FIG. 29). The social community view3650 may display the map based geographic location associated with theuser profile (e.g., the user profile 4000 of FIG. 40A) only afterverifying the address of the registered user of the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29).

In addition, the social community view 3650 may provide a buildingcreator (e.g., the building builder 1602 of FIG. 16), in which theregistered users of the global neighborhood environment 1800 (e.g., theprivacy server 2900 of FIG. 29) may create and/or modify empty claimableprofiles (e.g., a claimable profile 4006 of FIG. 40B-41A, a claimableprofile 4102 of FIG. 41A, a claimable profile 1704 of FIG. 17), buildinglayouts, social network pages, etc. The social community view 3650 ofthe social community algorithm 2906 may enable access to the user (e.g.,the user 2916 of FIG. 29) to model a condo on any floor (e.g., basement,ground floor, first floor, etc.) selected through the drop down box bythe registered user of the global neighborhood environment 1800 (e.g.,the privacy server 2900 of FIG. 29). The social community view 3650 ofthe social community algorithm (e.g., the social community algorithm2906 of FIG. 29) may enable the registered user of the globalneighborhood environment 1800 (e.g., the privacy server 2900 of FIG. 29)to contribute information about their neighbors (e.g., the neighbor 2920of FIG. 29).

FIG. 37 is a profile view 3750 of a profile algorithm 3700, according toone embodiment. The profile view 3750 of profile algorithm 3700 mayoffer the registered user to access the profile about the neighbors(e.g., the neighbor 2920 of FIG. 29). The profile view 3750 of profilealgorithm 3700 may indicate the information associated with the profileof the registered user of the global neighborhood environment 1800(e.g., the privacy server 2900 of FIG. 29). The profile view 3750 maydisplay the address of the registered user. The profile view 3750 mayalso display events organized by the neighbors (e.g., the neighbor 2920of FIG. 29), history of the neighbors (e.g., the neighbor 2920 of FIG.29), and/or may also offer the information (e.g., public, private, etc.)associated with the family of the neighbors (e.g., the neighbor 2920 ofFIG. 29) located in the locality of the user (e.g., the user(s) 2916 ofFIG. 29) of the global neighborhood environment 1800 (e.g., the privacyserver 2900 of FIG. 29).

FIG. 38 is a contribute view 3850 of a neighborhood network algorithm3800, according to one embodiment. The contribute view 3850 of theneighborhood network algorithm 3800 may enable the registered user ofthe global neighborhood environment 1800 (e.g., the privacy server 2900of FIG. 29) to add information about their neighbors in the neighborhoodnetwork. The contribute view 3850 of the neighborhood network algorithm3800 may offer registered user of the global neighborhood environment1800 (e.g., the privacy server 2900 of FIG. 29) to add valuable notesassociated with the family, events, private information, etc.

FIG. 39 is a diagrammatic system view, according to one embodiment. FIG.39 is a diagrammatic system view 3900 of a data processing system inwhich any of the embodiments disclosed herein may be performed,according to one embodiment. Particularly, the system view 3900 of FIG.39 illustrates a processor 3902, a main memory 3904, a static memory3906, a bus 3908, a video display 3910, an alpha-numeric input device3912, a cursor control device 3914, a drive unit 3916, a signalgeneration device 3918, a network interface device 3920, a machinereadable medium 3922, instructions 3924, and a network 3926, accordingto one embodiment.

The diagrammatic system view 3900 may indicate a personal computerand/or a data processing system in which one or more operationsdisclosed herein are performed. The processor 3902 may bemicroprocessor, a state machine, an application specific integratedcircuit, a field programmable gate array, etc. (e.g., Intel® Pentium®processor). The main memory 3904 may be a dynamic random access memoryand/or a primary memory of a computer system.

The static memory 3906 may be a hard drive, a flash drive, and/or othermemory information associated with the data processing system. The bus3908 may be an interconnection between various circuits and/orstructures of the data processing system. The video display 3910 mayprovide graphical representation of information on the data processingsystem. The alpha-numeric input device 3912 may be a keypad, keyboardand/or any other input device of text (e.g., a special device to aid thephysically handicapped). The cursor control device 3914 may be apointing device such as a mouse.

The drive unit 3916 may be a hard drive, a storage system, and/or otherlonger term storage subsystem. The signal generation device 3918 may bea bios and/or a functional operating system of the data processingsystem. The machine readable medium 3922 may provide instructions onwhich any of the methods disclosed herein may be performed. Theinstructions 3924 may provide source code and/or data code to theprocessor 3902 to enable any one/or more operations disclosed herein.

FIG. 40A is a user interface view of mapping a user profile 4000 of thegeographic location 4004, according to one embodiment. In the exampleembodiment illustrated in FIG. 40A, the user profile 4000 may containthe information associated with the geographic location 4004. The userprofile 4000 may contain the information associated with the registereduser. The user profile 4000 may contain information such as address userof the verified geographic location, name of the occupant, profession ofthe occupant, details, phone number, educational qualification, etc.

The map 4002 may indicate the global neighborhood environment 1800(e.g., the privacy server 2900 of FIG. 29) of the geographical location4004, a claimable profile 4006 (e.g., the claimable profile 4102 of FIG.41A, the claimable profile 1704 of FIG. 17), and a delisted profile4008. The geographical location 4004 may be associated with the userprofile 4000. The claimable profile 4006 may be the claimable profile4006 associated with the neighboring property surrounding the geographiclocation 4004. The delisted profile 4008 illustrated in exampleembodiment of FIG. 40A, may be the claimable profile 4006 that may bedelisted when the registered user claims the physical property. The tag4010 illustrated in the example embodiment of FIG. 40A may be associatedwith hobbies, personal likes, etc. The block 4016 may be associated withevents, requirements, etc. that may be displayed by the members of theglobal neighborhood environment 1800 (e.g., the privacy server 2900 ofFIG. 29).

For example, a verified registered user (e.g., a verified registereduser 4110 of FIG. 41A-B, a verified registered user 4110 of FIG. 16) maybe associated with a user profile 4000. The user profile 4000 may beassociated with a verified geographic location. A map concurrentlydisplaying the user profile 4000 and the verified geographic location4004 may be generated. Also, the claimable profiles 4006 associated withdifferent geographic locations surrounding the verified geographiclocation associated with the user profile 4000 may be simultaneouslygenerated in the map. In addition, a query of the user profile 4000and/or the verified geographic location may be processed.

Similarly, a tag data (e.g., the tags 4010 of FIG. 40A) associated withthe verified geographic locations, a particular geographic location, andthe delisted geographic location may be processed. A frequent one of thetag data (e.g., the tags 4010 of FIG. 40A) may be displayed when theverified geographic location and/or the particular geographic locationis made active, but not when a geographic location is delisted.

FIG. 40B is a user interface view of mapping of the claimable profile4006, according to one embodiment. In the example embodiment illustratedin FIG. 40B, the map 4002 may indicate the geographic locations in theglobal neighborhood environment 1800 (e.g., the privacy server 2900 ofFIG. 29) and/or may also indicate the geographic location of theclaimable profile 4006. The claimable profile 4006 may display theinformation associated with the registered user of the globalneighborhood environment 1800 (e.g., the privacy server 2900 of FIG.29). The link claim this profile 4012 may enable the registered user toclaim the claimable profile 4006 and/or may also allow the verifiedregistered user (e.g., the verified registered user 4110 of FIG. 41A-B)to edit any information in the claimable profiles 4006. The block 4014may display the information posted by any of the verified registeredusers (e.g., the verified registered user 4110 of FIG. 41A-B, theverified registered user 4110 of FIG. 16) of the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29).

For example, a particular claimable profile (e.g., the particularclaimable profile may be associated with a neighboring property to thespecific property in the neighborhood) of the claimable profiles (e.g.,the claimable profile 4102 of FIG. 41A, the claimable profile 1704 ofFIG. 17) may be converted to another user profile (e.g., the userprofile may be tied to a specific property in a neighborhood) when adifferent registered user (e.g., the user 2916 of FIG. 29) claims aparticular geographic location to the verified geographic locationassociated with the particular claimable profile.

In addition, a certain claimable profile of the claimable profiles maybe delisted when a private registered user claims a certain geographiclocation (e.g., the geographical location 4004 of FIG. 40A) adjacent tothe verified geographic location and/or the particular geographiclocation. Also, the certain claimable profile in the map 4002 may bemasked when the certain claimable profile is delisted through therequest of the private registered user.

Furthermore, a tag data (e.g., the tags 4010 of FIG. 40A) associatedwith the verified geographic location, the particular geographiclocation, and the delisted geographic location may be processed. Afrequent one of the tag data may be displayed when the verifiedgeographic location and/or the particular geographic location are madeactive, but not when a geographic location is delisted.

Moreover, the verified registered user (e.g., the verified registereduser 4110 of FIG. 41A-B, the verified registered user 4110 of FIG. 16)may be permitted to edit any information in the claimable profiles 4006including the particular claimable profile 4006 and/or the certainclaimable profile until the certain claimable profile may be claimed bythe different registered user and/or the private registered user. Inaddition, a claimant of any claimable profile 4006 may be enabled tocontrol what information is displayed on their user profile. Also, theclaimant may be allowed to segregate certain information on their userprofile 4000 such that only other registered users directly connected tothe claimant are able to view data on their user profile 4000.

FIG. 41A is a user interface view of mapping of a claimable profile 4102of the commercial user 4100, according to one embodiment. In the exampleembodiment illustrated in FIG. 41A, the commercial user 4100 may beassociated with the customizable business profile 4104 located in thecommercial geographical location. The claimable profile 4102 may containthe information associated with the commercial user 4100. The claimableprofile 4102 may contain the information such as address, name,profession, tag, details (e.g., ratings), and educational qualificationetc. of the commercial user 4100. The verified registered user 4110 maybe user associated with the global neighborhood environment 1800 (e.g.,the privacy server 2900 of FIG. 29) and may communicate a message to theneighborhood commercial user 4100. For example, a payment of thecommercial user 4100 and the verified registered user 4110 may beprocessed.

FIG. 41B is a user interface view of mapping of customizable businessprofile 4104 of the commercial user 4100, according to one embodiment.In the example embodiment illustrated in FIG. 41B, the commercial user4100 may be associated with the customizable business profile 4104. Thecustomizable business profile 4104 may be profile of any business firm(e.g., restaurant, hotels, supermarket, etc.) that may containinformation such as address, occupant name, profession of thecustomizable business. The customizable business profile 4104 may alsoenable the verified registered user 4110 to place online order for theproducts.

For example, the commercial user 4100 may be permitted to purchase acustomizable business profile 4104 associated with a commercialgeographic location. Also, the verified registered user 4110 may beenabled to communicate a message to the global neighborhood environment1800 (e.g., the privacy server 2900 of FIG. 29) based on a selectabledistance range away from the verified geographic location. In addition,a payment of the commercial user 4100 and/or the verified registereduser 4110 may be processed.

A target advertisement 4106 may display the information associated withthe offers and/or events of the customizable business. The displayadvertisement 4108 may display ads of the products of the customizablebusiness that may be displayed to urge the verified registered user 4110to buy the products of the customizable business. The verifiedregistered user 4110 may be user associated with the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29) that maycommunicate a message to the commercial user 4100 and/or may beinterested in buying the products of the customizable business.

People in suburbia and urban cities now may not even know who theirneighbors are. Communities have become more insular. There may be a fewactive people in each neighborhood who know about their neighborhood andare willing to share what they know with others. They should be able toshare this information with others through the Internet. Many peoplewant to know who their neighbors are and express themselves and theirfamilies through the internet. People want to also know aboutrecommendations and what kind of civic and cultural things are in theneighborhood. What is contemplated includes: A social network for peoplewho want to get to know their neighbors and/or neighborhoods.Particularly, one in which a set of maps of neighborhoods (e.g., such asthose on Zillow.com or provided through Google® or Microsoft®) are usedas a basis on which a user can identify themselves with a particularaddress. This address may be verified through one or more of thealgorithms on FIG. 29. Particularly, this address may be the currentaddress of the user is living, a previous address where the user used tolive, etc.

The address may be verified through a credit check of the user, or acopy of the user's drivers license. Once the user is approved in aparticular home/location, the user can leave their comments about theirhome. They can mark their home information proprietary, so that no oneelse can contribute to their info without their permission. They canhave separate private and public sections, in which the private sectionis shared with only verified addresses of neighbors, and the publicsection is shared with anybody viewing their profile. The user can thencreate separate social networking pages for homes, churches, locations,etc. surrounding his verified address. As such, the user can expresshim/herself through their profile, and contribute information about whatthey're neighborhood is like and who lives there. Only verifiedindividuals or entities might be able to view information in thatneighborhood.

The more information the user contributes, the higher his or her statuswill be in the neighborhood through a marker (e.g., a number of stars),or through additional services offered to the neighbor, such as theability to search a profiles of neighbors in a larger distance rangefrom a verified address of the user. For example, initially, the usermay only be able to search profiles within 1 mile on their principal,current home after being verified as living in there. When they create aprofiles for themselves and/or contribute profiles of other people, theymay widen their net of private profiles they may be allowed to search(e.g., because they become a trusted party in the neighborhood byoffering civic information). Neighbors can leave feedback for eachother, and arrange private block parties, etc. through their privateprofile. All these features may possible through one or more of theembodiments and/or algorithms illustrated in FIGS. 1-41B. Through theirpublic profile, neighbors can know if there is a doctor living down thestreet, or an attorney around the corner. The FIGS. 1-41B illustratevarious embodiments that may be realized. While a description is givenhere, a self-evident description can be derived for the software andvarious methods, software, and hardware directly from the attachedFigures.

A neighborhood expression and user contribution system is disclosed. Inone aspect, the technology allows users to see the value of millions ofhomes across the United States and/or the world, not just those that theuser themselves own or live in, because they can share information abouttheir neighbors. People living in apartments or condos can use theapartment/condo modeler wizard (e.g., as illustrated in FIG. 29) tocreate models (e.g. 2 or 3d) of their building and share informationabout their apartment/home and of their neighbors with others. Thetechnology has an integrated targeted advertising system for enablingadvertisers to make money through the social community algorithm 2900 bydelivering targeted and non-targeted advertisements.

Aside from giving user generated content of information of homes, thesystem may also provide value estimates of homes it may also offersseveral unique features including value changes of each home in a giventime frame (e.g. 1, 5, or 10 years) and aerial views of homes as well asthe price of the surrounding homes in the area. It may also providesbasic data of a given home such as square footage and the number ofbedrooms and bathrooms. Users may can also obtain current estimates ofhomes if there was a significant change made such as recently modeledkitchen.

In the example systems and methods illustrated in FIGS. 1-41B, neighborsmay get to know each other and their surrounding businesses more easilythrough the Internet. The user interface view of the social communityalgorithm may include a searchable map interface and/or a socialnetworking page on the right when one clicks a particular home/location.The map interface may/may not include information about prices of ahome, or information about the number of bedrooms of a home, etc. Inessence, certain critical input information may be divided as follows:

Residential location: (1) name of the persons/family living in thatresidence (2) Their profession if any 3) Their educational background ifany (4) Their recreational interests (5) About their family descriptionbox (6) Anything else people want to post about that person includingtheir interests, hobbies, etc. (7) An ability for users to leaveendorsements.

Business location or civic location (e.g., park, govt. building, church,etc.): (1) name of the business/location (2) email of the manager of thebusiness/location (3) phone number of the business/location if known (4)anything else people want to say about the business (good or bad), forexample, contributable through a claimable.

These two will be the primary types. Various features differentiateexample embodiments of the social community algorithm from other socialnetworks. These differentiators include (1) interface driven by address(2) maps that can be viewed, zoomed in on, tied to a parcel #, etc. (3)Anyone can populate anyone's social network page. (4) Anybody can postin one of the boxes. They can post anonymously or publicly (5) Ifsomeone wants to override information that already has been established,they will need to have an identity (e.g., user name), to overridepublished posting information.

However, according to one embodiment, if an owner of an entity locationwishes to mark their location private, and uneditable by the publicwithout their permission, they will need to pay (e.g., a monthly fixedfee) through the social community algorithm. Alternatively, the owner ofthe entity location may not need to pay to mark the location as privateand uneditable by the public without the owner's permission. Exampleembodiments of the social community algorithm may feature info aboutbusinesses. They may also feature info about people that live in thehomes, and may/may not display information on prices, number ofbedrooms, etc.

The social community algorithm (e.g., as described in FIG. 29) may be asearch engine (e.g., Google®, Yahoo®, etc.) that uses maps (e.g.,satellite map views) instead of text displays to show information, userprofiles, reviews, promotions, ads, directions, events, etc. relevant touser searches.

The example systems and methods illustrated in FIGS. 1-41B mayfacilitate a social network membership that spreads virally by usersinviting their friends. For example, every person that registers hastheir own profile, but registration may not be required to contributecontent. However, registration may be required to “own” content on yourown home, and have override permission to delete things that you don'tlike about yourself listed about you by others. In one embodiment, thesocial community algorithm may need to confirm the user's identity andaddress (e.g., using digital signature tools, drivers licenseverification, etc.), and/or the user may need to pay a monthly fixed fee(e.g., through a credit card) to control their identity.

For example, they can get a rebate, and not have to pay the monthly feefor a particular month, if they invite at least 15 people that month ANDcontribute information about at least 10 of their neighbors, friends,civic, or business locations in their neighborhood. People can post picsof their family, their business, their home, etc. on their profile oncethey ‘own’ their home and register. In another embodiment, endorsementsfor neighbors by others will be published automatically. People cansearch for other people by descriptors (e.g., name, profession, distanceaway from me, etc.)

Profiles of users may be created and/or generated on the fly, e.g., whenone clicks on a home.

People may be able to visually see directions to their neighborhoodbusinesses, rather than reading directions through text in a firstphase. After time, directions (e.g., routes) can be offered as well.Users can leave their opinions on businesses, but the social communityalgorithm also enables users to leave opinions on neighbors, occupantsor any entity having a profile on the map display. The social communityalgorithm may not attempt to restrict freedom of speech by the users,but may voluntarily delete slanderous, libelous information on therequest of an owner manually at any time.

In one embodiment, the methods and systems illustrated in FIGS. 1-41Benable people to search for things they want e.g. nearby pizzas etc.(e.g., by distance away). Advertisers can ‘own’ their listing by placinga display ad on nextdoor.com. Instead of click-through revenues whensomeone leaves the site, revenues will be realized when the link isclicked and someone views a preview html on the right of the visual map.Targeted advertisements may also be placed when someone searches aparticular street, name, city, etc.

In another example embodiment, the social community algorithm may enableusers of the social network to populate profiles for apartments,buildings, condos, etc. People can create floors, layout, etc. of theirbuilding, and add social network pages on the fly when they click on alocation that has multiple residents, tenants, or lessees.

A user interface associated with the social community algorithm 2900 maybe clean, simple, and uncluttered (e.g., Simple message of “get to knowyour neighbors”). For example, the map interface shows neighbors.Methods and systems associated with the features described may focus onuser experience, e.g., ensuring a compelling message to invite friendsand/or others to join. A seed phase for implementation of the methodsand systems illustrated in FIGS. 1-41B may be identified for building amembership associated with the social community algorithm.

For example, a user having extensive networks in a certain area (e.g., acity) may seed those communities as well. The social network mayencourage user expression, user content creation, ease of use on site toget maximum users/distribution as quickly as possible. In anotherembodiment, the social community algorithm may ensure thatinfrastructure associated with operation of the social communityalgorithm (e.g., servers) are able to handle load (e.g., data traffic)and keep up with expected growth.

For example, the user interface view illustrated in the various figuresshows an example embodiment of the social community algorithm of FIG.29. The user interface view may include a publicly editable profile wallsection allowing public postings that owners of the profile can edit.For example, any user may be able to post on an empty profile wall, buta user must claim the location to own the profile (e.g., may minimizebarriers to users posting comments on profile walls).

Names featured on the profile wall may be links to the user profiles onthe map (e.g., giving an immediate sense for the location of admirers(or detractors) relative to user location). In one embodiment, an action(e.g., mouse-over) on a comment would highlight the comment user's houseon the map and names linking to user profiles. The user interface viewmay also utilize the mapping interface to link comments to locations.

For example, the various embodiments illustrate a comment announcing agarage sale, that is tied to a mappable location on the mappinginterface. (e.g., allows people to browse references directly frompeople's profiles.). In the various figures, an example display of themapping interface is illustrated. In this example display, houses areshown in green, a church is shown in white, the red house shows theselected location and/or the profile owner's house, question marksindicate locations without profile owners, blue buildings are commerciallocations, and the pink building represents an apartment complex.

Houses with stars indicate people associated with (e.g., “friends”) ofthe current user. In one embodiment, a user action (e.g., mouse-over) ona commercial property displayed in the mapping interface may pull up astar (e.g., “***) rating based on user reviews, and/or a link to theprofile for the property. A mouse-over action on the apartment complexmay pull up a building schematic for the complex with floor plans, onwhich the user can see friends/profiles for various floors or rooms.Question marks indicated in the display may prompt users to own thatprofile or post comments on the wall for that space. A user action onany house displayed in the mapping interface may pull up a profile link,summary info such as status, profession, interests, etc. associated withthe profile owner, a link to add the person as a friend, and/or a linkto send a message to the user (e.g., the profile owner).

In another embodiment, a default profile view shown is that of thecurrent user (e.g., logged in), and if the user clicks on any otherprofile, it may show their profile in that space instead (with few textchanges to indicate different person). The events in your area view ofthe profile display in may have a default radius for notification ofevents (e.g., by street, by block, by neighborhood, county, etc.) Eventsare associated with user profiles and may link to locations displayed onthe mapping interfaces. The hot picks section may be an ad/promotionalzone, with default settings for radius of alerts also configurable.

For example, the “Find a Friend” section may permit users to search byname, address, interests, status, profession, favorite movies/music/foodetc. Users are also able to search within a given radius of theirlocation. In one embodiment, the user interface view may include a linkfor the user to invite other people to join the network (e.g., mayencourage users who see a question-mark on a house or a location on themapping interface that corresponds to a real location associated withsomeone they know to contact that person and encourage them to join andown that profile through the social community algorithm).

Some of the reasons we believe these embodiments are unique include:

Search engine that provides a visual map (e.g., rather than text)display of information relevant to user queries.

Users can search on the map for other people having certainprofessional, educational, personal, extracurricular, cultural,political and/or family etc. profiles or interests, within any locationrange.

Users can search for information on the map, that is accessible directlythrough profile displays. For example, the user may search forinformation about a certain subject and be directed to a profile ofanother user having information about the subject. Alternatively, theuser may view the search subject itself as a visible item (e.g., ifapplicable to the search query) having a profile on the map display,along with additional information associated with the item (e.g.,contributed by other users).

Allows users to search, browse and view information posted by otherusers about an entity location such as a home, a business property, acondo, an apartment complex, etc. directly on a map display

Allows users to browse, form and join groups and communities based onlocation, preferences, interests, friend requests, etc.

Users can send messages to other people through their profiles withinthe map display

Users can find friends, business associates, vendors, romantic partners,etc. on the map within any location range (e.g., in their neighborhood,street, subdivision, etc.) by browsing the map display or searching forpeople with certain profile characteristics and/or similar interests.

Users can view, browse and post comments/information/reviews aboutentity locations and/or people associated with those locations (e.g.,occupants of a house, families, apartment residents, businesses,non-governmental entities, etc.), even for locations that do not have aprofile owner. For example, all entity locations visible on the mapdisplay may link to a profiles on which any user can post comments. Toown the profile and edit the information posted about an entity locationor the occupant(s), the occupant(s) would have to join the networkassociated with the social community algorithm and become the owner ofthe profile. The profile owner would then become visible in the mapdisplay (e.g., entity locations without profile owners may only bevisible as questions marks on the map, having blank profiles but publiccomment sections).

Users can share their comments and opinions about locations, preferencesand/or interests on their profiles that are visible and searchable onthe map display

Automatically notifies users of events and promotions in an area (e.g.,scope of area can be selected by the user), and highlights venues anduser profiles on the map.

Users can post reviews about entity locations (e.g., businesses) suchthat ratings for entity locations are visible on the map. Other userscan trace the location of the users that posted the comments on the map.

Users who post comments on other profiles can be traced directly on themap through their comments. Alternatively, users can choose to submitanonymous postings or comments on other user/entity profiles, and/or maychoose not to be traceable on the map through their comments.

For entity locations having more than one residency unit (e.g.,apartment complexes), people can create and post on profiles for anyroom/floor of the location (e.g., by entering information on a schematicview of the location that is visible on the map).

Users can visually determine routes/directions/orientation to locationsthat they can browse within the map display. Additionally, users cangenerate written driving, walking or public transit directions betweenpoints of interest (e.g., from the user's house to a friend's house)within the map display.

Users can communicate (e.g., through live chat) directly with otherusers in the area based on an association determined through theirprofiles

Business entity locations can generate targeted ads and promotionswithin locations on the map display (e.g., virtual billboards).

The social community algorithm can realize revenue based on adclickthroughs by users, without the users being directed away from theinterface. For example, when a user clicks on any targeted ad/promotiondisplayed on the map, the profile of the entity associated with thead/promotion may be generated alongside the map display.

Neighborhood or neighborhood (see spelling differences) is ageographically localized community located within a larger city orsuburb. The residents of a given neighborhood are called neighbors (orneighbors), although this term may also be used across much largerdistances in rural areas.

Traditionally, a neighborhood is small enough that the neighbors are allable to know each other. However in practice, neighbors may not know oneanother very well at all. Villages aren't divided into neighborhoods,because they are already small enough that the villagers can all knoweach other.

The system however may work in any country and any geography of theworld. In Canada and the United States, neighborhoods are often givenofficial or semi-official status through neighborhood associations,neighborhood watches, or block watches. These may regulate such mattersas lawn care and fence height, and they may provide such services asblock parties, neighborhood parks, and community security. In some otherplaces the equivalent organization is the parish, though a parish mayhave several neighborhoods within it depending on the area.

In localities where neighborhoods do not have an official status,questions can arise as to where one neighborhood begins and anotherends, such as in the city of Philadelphia, Pa. Many cities may usedistricts and wards as official divisions of the city, rather thantraditional neighborhood boundaries.

In the mainland of the People's Republic of China, the term is generallyused for the urban administrative unit usually found immediately belowthe district level, although an intermediate, sub-district level existsin some cities. They are also called streets (administrative terminologymay vary from city to city). Neighborhoods encompass 2,000 to 10,000families. Within neighborhoods, families are grouped into smallerresidential units or quarters of 2900 to 3400 families and supervised bya residents' committee; these are subdivided into residents' smallgroups of fifteen to forty families. In most urban areas of China,neighborhood, community, residential community, residential unit,residential quarter have the same meaning:

or

, or

or

, and is the direct sublevel of a subdistrict (

), which is the direct sublevel of a district (

), which is the direct sublevel of a city (

). (See Political divisions of China.

The system and methods may be distributed through neighborhoodassociations. A neighborhood or neighborhood (see spelling differences)is a geographically localized community located within a larger city orsuburb. The residents of a given neighborhood are called neighbors (orneighbors), although this term may also be used across much largerdistances in rural areas.

Traditionally, a neighborhood is small enough that the neighbors are allable to know each other. However in practice, neighbors may not know oneanother very well at all. Villages aren't divided into neighborhoods,because they are already small enough that the villagers can all knoweach other. Each of the technologies and concepts disclosed herein maybe embodied in software and/or hardware through one or more of thealgorithms/embodiments discussed in FIGS. 1-41B.

A block party is a large public celebration in which many members of asingle neighborhood congregate to observe a positive event of someimportance. Many times, there will be celebration in the form of playingmusic and dance. Block parties gained popularity in the United Statesduring the 1970s. Block Parties were often held outdoors and power forthe DJ's sound system was taken illegally from street lights. This wasfamously referenced in the song “South Bronx” by KRS-One with the line:

“Power from a street light made the place dark. But yo, they didn'tcare, they turned it out.” It is also interesting to note that manyinner city block parties were actually held illegally, as they might bedescribed as loitering. However, police turned a blind eye to them,reasoning that if everyone from the neighborhood was gathered in oneplace there was less chance of crime being committed elsewhere.

In the suburbs, block parties are commonly held on holidays such asFourth of July or Labor Day. Sometimes the occasion may be a theme sucha “Welcome to the Neighborhood” for a new family or a recent popularmovie. Often block parties involve barbecuing, lawn games such as SimonSays and group dancing such as the Electric Slide, the Macarena or linedancing.

In other usage, a block party has come to mean any informal publiccelebration. For example, a block party can be conducted via televisioneven though there is no real block in the observance. The same is truefor the Internet. The block party is closely related to the beach party.The British equivalent is the street party.

The systems and methods illustrated in FIGS. 1-41B may have software toemulate a block party or a neighborhood watch. A neighborhood watch(also called a crime watch or neighborhood crime watch) is a citizens'organization devoted to crime and vandalism prevention within aneighborhood. It is not a vigilante organization, since members areexpected not to directly intervene in possible criminal activity.Instead, neighborhood watch members are to stay alert to unusualactivity and contact the authorities. It builds on the concept of a townwatch from Colonial America.

The current American system of neighborhood watches began developing inthe late 1960s as a response to the rape and murder of Kitty Genovese inQueens, N.Y. People became outraged that three dozen witnesses didnothing to save Genovese or to apprehend her killer. Some locals formedgroups to watch over their neighborhoods and to look out for anysuspicious activity in their areas. Shortly thereafter, the NationalSheriffs' Association began a concerted effort in 1972 to revitalize the“watch group” effort nationwide.

A neighborhood watch (also called a crime watch or neighborhood crimewatch) is a citizens' organization devoted to crime and vandalismprevention within a neighborhood. It is not a vigilante organization,since members are expected not to directly intervene in possiblecriminal activity. Instead, neighborhood watch members are to stay alertto unusual activity and contact the authorities. It builds on theconcept of a town watch from Colonial America.

The current American system of neighborhood watches began developing inthe late 1960s as a response to the rape and murder of Kitty Genovese inQueens, N.Y. People became outraged that three dozen witnesses didnothing to save Genovese or to apprehend her killer. Some locals formedgroups to watch over their neighborhoods and to look out for anysuspicious activity in their areas. Shortly thereafter, the NationalSheriffs' Association began a concerted effort in 1972 to revitalize the“watch group” effort nationwide.

The various methods, systems, and apparatuses disclosed herein andillustrated and described using the attached FIGS. 1-41B can be appliedto creating online community organizations of neighborhoods of any form.During human growth and maturation, people encounter sets of otherindividuals and experiences. Infants encounter first, their immediatefamily, then extended family, and then local community (such as schooland work). They thus develop individual and group identity throughassociations that connect them to life-long community experiences.

As people grow, they learn about and form perceptions of socialstructures. During this progression, they form personal and culturalvalues, a world view and attitudes toward the larger society. Gaining anunderstanding of group dynamics and how to “fit in” is part ofsocialization. Individuals develop interpersonal relationships and beginto make choices about whom to associate with and under whatcircumstances.

During adolescence and adulthood, the individual tends to develop a moresophisticated identity, often taking on a role as a leader or followerin groups. If associated individuals develop the intent to give ofthemselves, and commit to the collective well-being of the group, theybegin to acquire a sense of community.

Socialization: The process of learning to adopt the behavior patterns ofthe community is called socialization. The most fertile time ofsocialization is usually the early stages of life, during whichindividuals develop the skills and knowledge and learn the rolesnecessary to function within their culture and social environment. Forsome psychologists, especially those in the psychodynamic tradition, themost important period of socialization is between the ages of 1 and 10.But socialization also includes adults moving into a significantlydifferent environment, where they must learn a new set of behaviors.

Socialization is influenced primarily by the family, through whichchildren first learn community norms. Other important influences includeschool, peer groups, mass media, the workplace and government. Thedegree to which the norms of a particular society or community areadopted determines one's willingness to engage with others. The norms oftolerance, reciprocity and trust are important “habits of the heart,” asde Tocqueville put it, in an individual's involvement in community.

Continuity of the connections between leaders, between leaders andfollowers, and among followers is vital to the strength of a community.Members individually hold the collective personality of the whole. Withsustained connections and continued conversations, participants incommunities develop emotional bonds, intellectual pathways, enhancedlinguistic abilities, and even a higher capacity for critical thinkingand problem-solving. It could be argued that successive and sustainedcontact with other people might help to remove some of the tension ofisolation, due to alienation, thus opening creative avenues that wouldhave otherwise remained impassable.

Conversely, sustained involvement in tight communities may tend toincrease tension in some people. However, in many cases, it is easyenough to distance oneself from the “hive” temporarily to ease thisstress. Psychological maturity and effective communication skills arethought to be a function of this ability. In nearly every context,individual and collective behaviors are required to find a balancebetween inclusion and exclusion; for the individual, a matter of choice;for the group, a matter of charter. The sum of the creative energy(often referred to as “synergy”) and the strength of the mechanisms thatmaintain this balance is manifest as an observable and resilient senseof community.

McMillan and Chavis (1986) identify four elements of “sense ofcommunity”: 1) membership, 2) influence, 3) integration and fulfillmentof needs, and 4) shared emotional connection. They give the followingexample of the interplay between these factors: Someone puts anannouncement on the dormitory bulletin board about the formation of anintramural dormitory basketball team. People attend the organizationalmeeting as strangers out of their individual needs (integration andfulfillment of needs). The team is bound by place of residence(membership boundaries are set) and spends time together in practice(the contact hypothesis). They play a game and win (successful sharedvalent event). While playing, members exert energy on behalf of the team(personal investment in the group). As the team continues to win, teammembers become recognized and congratulated (gaining honor and statusfor being members). Someone suggests that they all buy matching shirtsand shoes (common symbols) and they do so (influence).

A Sense of Community Index (SCI) has been developed by Chavis and hiscolleagues (1986). Although originally designed to assess sense ofcommunity in neighborhoods, the index has been adapted for use inschools, the workplace and a variety of types of communities.

Communitarianism as a group of related but distinct philosophies (orideologies) began in the late 20th century, opposing classicalliberalism, capitalism and socialism while advocating phenomena such ascivil society. Not necessarily hostile to social liberalism,communitarianism rather has a different emphasis, shifting the focus ofinterest toward communities and societies and away from the individual.The question of priority, whether for the individual or community, mustbe determined in dealing with pressing ethical questions about a varietyof social issues, such as health care, abortion, multiculturalism, andhate speech.

Effective communication practices in group and organizational settingsare important to the formation and maintenance of communities. How ideasand values are communicated within communities are important to theinduction of new members, the formulation of agendas, the selection ofleaders and many other aspects. Organizational communication is thestudy of how people communicate within an organizational context and theinfluences and interactions within organizational structures. Groupmembers depend on the flow of communication to establish their ownidentity within these structures and learn to function in the groupsetting. Although organizational communication, as a field of study, isusually geared toward companies and business groups, these may also beseen as communities. The principles can also be applied to other typesof communities.

If the sense of community exists, both freedom and security exist aswell. The community then takes on a life of its own, as people becomefree enough to share and secure enough to get along. The sense ofconnectedness and formation of social networks comprise what has becomeknown as social capital.

Azadi Tower is a town square in modern Iran. Social capital is definedby Robert D. Putnam as “the collective value of all social networks (whopeople know) and the inclinations that arise from these networks to dothings for each other (norms of reciprocity).” Social capital in actioncan be seen in groups of varying formality, including neighbors keepingan eye on each others' homes. However, as Putnam notes in Bowling Alone:The Collapse and Revival of American Community (30000), social capitalhas been falling in the United States. Putnam found that over the past25 years, attendance at club meetings has fallen 58 percent, familydinners are down 33 percent, and having friends visit has fallen 45percent.

Western cultures are thus said to be losing the spirit of community thatonce were found in institutions including churches and community centers2921. Sociologist Ray Oldenburg states in The Great Good Place thatpeople need three places: 1) The home, 2) the workplace, and, 3) thecommunity hangout or gathering place.

With this philosophy in mind, many grassroots efforts such as TheProject for Public Spaces are being started to create this “Third Place”in communities. They are taking form in independent bookstores,coffeehouses, local pubs and through many innovative means to create thesocial capital needed to foster the sense and spirit of community.

Community development is often formally conducted by universities orgovernment agencies to improve the social well-being of local, regionaland, sometimes, national communities. Less formal efforts, calledcommunity building or community organizing, seek to empower individualsand groups of people by providing them with the skills they need toeffect change in their own communities. These skills often assist inbuilding political power through the formation of large social groupsworking for a common agenda. Community development practitioners mustunderstand both how to work with individuals and how to affectcommunities' positions within the context of larger social institutions.

Formal programs conducted by universities are often used to build aknowledge base to drive curricula in sociology and community studies.The General Social Survey from the National Opinion Research Center atthe University of Chicago and the Saguaro Seminar at the John F. KennedySchool of Government at Harvard University are examples of nationalcommunity development in the United States. In The United Kingdom,Oxford University has led in providing extensive research in the fieldthrough its Community Development Journal, used worldwide bysociologists and community development practitioners.

At the intersection between community development and community buildingare a number of programs and organizations with community developmenttools. One example of this is the program of the Asset Based CommunityDevelopment Institute of Northwestern University. The institute makesavailable downloadable tools to assess community assets and makeconnections between non-profit groups and other organizations that canhelp in community building. The Institute focuses on helping communitiesdevelop by “mobilizing neighborhood assets”—building from the inside outrather than the outside in.

Community building and organizing: M. Scott Peck is of the view that thealmost accidental sense of community which exists at times of crisis,for example in New York City after the attacks of Sep. 11, 2001, can beconsciously built. Peck believes that the process of “consciouscommunity building” is a process of building a shared story, andconsensual decision making, built upon respect for all individuals andinclusivity of difference. He is of the belief that this process goesthrough four stages:

Pseudo-community: Where participants are “nice with each other”,playing-safe, and presenting what they feel is the most favorable sidesof their personalities. Chaos: When people move beyond theinauthenticity of pseudo-community and feel safe enough to present their“shadow” selves. This stage places great demands upon the facilitatorfor greater leadership and organization, but Peck believes that“organizations are not communities”, and this pressure should beresisted.

Emptying: This stage moves beyond the attempts to fix, heal and convertof the chaos stage, when all people become capable of acknowledgingtheir own woundedness and brokenness, common to us all as human beings.Out of this emptying comes

Authentic community: the process of deep respect and true listening forthe needs of the other people in this community. This stage Peckbelieves can only be described as “glory” and reflects a deep yearningin every human soul for compassionate understanding from one's fellows.

More recently Scott Peck has remarked that building a sense of communityis easy. It is maintaining this sense of community that is difficult inthe modern world. The Ithaca Hour is an example of community-basedcurrency. Community building can use a wide variety of practices,ranging from simple events such as potlucks and small book clubs tolarger-scale efforts such as mass festivals and construction projectsthat involve local participants rather than outside contractors. Somecommunities have developed their own “Local Exchange Trading Systems”(LETS) and local currencies, such as the Ithaca Hours system, toencourage economic growth and an enhanced sense of community.

Community building that is geared toward activism is usually termed“community organizing.” In these cases, organized community groups seekaccountability from elected officials and increased directrepresentation within decision-making bodies. Where good-faithnegotiations fail, these constituency-led organizations seek to pressurethe decision-makers through a variety of means, including picketing,boycotting, sit-ins, petitioning, and electoral politics. The ARISEDetroit! coalition and the Toronto Public Space Committee are examplesof activist networks committed to shielding local communities fromgovernment and corporate domination and inordinate influence.

Community organizing is sometimes focused on more than just resolvingspecific issues. Organizing often means building a widely accessiblepower structure, often with the end goal of distributing power equallythroughout the community. Community organizers generally seek to buildgroups that are open and democratic in governance. Such groupsfacilitate and encourage consensus decision-making with a focus on thegeneral health of the community rather than a specific interest group.

The three basic types of community organizing are grassroots organizing,coalition building, and faith-based community organizing (also called“institution-based community organizing,” “broad-based communityorganizing” or “congregation-based community organizing”).

Community service is usually performed in connection with a nonprofitorganization, but it may also be undertaken under the auspices ofgovernment, one or more businesses, or by individuals. It is typicallyunpaid and voluntary. However, it can be part of alternative sentencingapproaches in a justice system and it can be required by educationalinstitutions.

The most common usage of the word “community” indicates a large groupliving in close proximity. Examples of local community include: Amunicipality is an administrative local area generally composed of aclearly defined territory and commonly referring to a town or village.Although large cities are also municipalities, they are often thought ofas a collection of communities, due to their diversity.

A neighborhood is a geographically localized community, often within alarger city or suburb. A planned community is one that was designed fromscratch and grew up more or less following the plan. Several of theworld's capital cities are planned cities, notably Washington, D.C., inthe United States, Canberra in Australia, and Brasilia in Brazil. It wasalso common during the European colonization of the Americas to buildaccording to a plan either on fresh ground or on the ruins of earlierAmerindian cities. Identity: In some contexts, “community” indicates agroup of people with a common identity other than location. Membersoften interact regularly. Common examples in everyday usage include: A“professional community” is a group of people with the same or relatedoccupations. Some of those members may join a professional society,making a more defined and formalized group.

These are also sometimes known as communities of practice. A virtualcommunity is a group of people primarily or initially communicating orinteracting with each other by means of information technologies,typically over the Internet, rather than in person. These may be eithercommunities of interest, practice or communion. (See below.) Researchinterest is evolving in the motivations for contributing to onlinecommunities.

Some communities share both location and other attributes. Memberschoose to live near each other because of one or more common interests.A retirement community is designated and at least usually designed forretirees and seniors—often restricted to those over a certain age, suchas 55. It differs from a retirement home, which is a single building orsmall complex, by having a number of autonomous households.

An intentional community is a deliberate residential community with amuch higher degree of social interaction than other communities. Themembers of an intentional community typically hold a common social,political or spiritual vision and share responsibilities and resources.Intentional communities include Amish villages, ashrams, cohousing,communes, ecovillages, housing cooperatives, kibbutzim, and land trusts.

Special nature of human community Music in Central Park, a public space.Definitions of community as “organisms inhabiting a common environmentand interacting with one another,” while scientifically accurate, do notconvey the richness, diversity and complexity of human communities.Their classification, likewise is almost never precise. Untidy as it maybe, community is vital for humans. M. Scott Peck expresses this in thefollowing way: “There can be no vulnerability without risk; there can beno community without vulnerability; there can be no peace, andultimately no life, without community.” This conveys some of thedistinctiveness of human community.

Embodiments described herein in FIGS. 14-41B govern a new kind of socialnetwork for neighborhoods, according to one embodiment (e.g., may beprivate and/or claimable-editable search engine based). It should benoted that in some embodiments, the address of an user may be maskedfrom the public search (but still may be used for privacyconsiderations), according to one embodiment. Some embodiments have nopreseeded data, whereas others might. Embodiments described herein maypresent rich, location specific information on individual residents andbusinesses.

A user can “Claim” one or more Business Pages and/or a ResidentialPages, according to one embodiment. In order to secure their Claim, theuser may verify their location associated with the Business Page and/orResidential page within 30 days, or the page becomes released to thecommunity, according to one embodiment. A user can only have a maximumof 3 unverified Claims out at any given time, according to oneembodiment. When a user clicks on “Claim this Page” on Business Profilepage and/or a Residential Profile page, they can indicate the manner inwhich they intend to verify their claim, according to one embodiment.Benefits of Claiming a Business Page and/or Residential page may enablethe user to mark their page ‘Self-Editable only’ from the default ‘FullyEditable’ status, and see “Private” listings in a claimed neighborhoodaround the verified location, according to one embodiment. Each edit bya user on a Residential Profile page and/or a Business Profile page maybe made visible on the profile page, along with a date stamp, accordingto one embodiment.

Browse function: Based on the user's current location, the browsefunction may display a local map populated with pushpins forlocation-specific information, and a news feed, made up of business pageedits, public people page edits, any recent broadcasts, etc., accordingto one embodiment. The news feed may show up on each Business Page andeach Residential Page, based on activity in the surrounding area,according to one embodiment. Secure a Neighborhood function: May allowthe user to identify and “secure” a neighborhood, restricting certaintypes of access to verified residents, according to one embodiment. Adda Pushpin function: May allow any registered or verified user to add anytype of Pushpin (as described in FIG. 36), to one embodiment.

In addition to the map, the search results page may display a news feed,made up of business page edits, public people page edits, any recentbroadcasts, and autogenerated alerts who has moved into theneighborhood, who has moved out of the neighborhood, any recent reviewsin the neighborhood, any pushpins placed in the immediate area, etc.,according to one embodiment. The news feed may prioritize entriesrelating to the search results, and will take into account privacypolicies and preferences, according to one embodiment.

Example Newsfeeds may include:

Joe Smith moved into the neighborhood in September 2013. Welcome Joe!Like Share; 42 neighbors (hyperlink) moved in to the Cupertino libraryneighborhood in July 2013. Like Share; 12 neighbors (hyperlink) verifiedin to the Cupertino library neighborhood in July 2013. Like Share; RajAbhyanker invited Paul Smith, a guest to the Cupertino neighborhood. Rajindicates Paul is a friend from college looking to move into theneighborhood. Welcome Paul!; Raj Abhyanker posted a Nissan Leaf for rent$35 a day, in mountain view Rent now. Like Share

This content may feed each Profile Page and helps to increase SearchEngine value for content on the site, according to one embodiment.Alerts may be created and curated (prioritized, filtered) automaticallyand/or through crowdsourcing, to keep each page vibrant and activelyupdating on a regular basis (ideally once a day or more), according toone embodiment.

A Multi-Family Residence page will display a list of residents in theentire building, according to one embodiment. Clicking on any residentwill display a Single Family Residence page corresponding to theindividual living unit where that person resides, according to oneembodiment.

For example, suppose that John Smith and Jane Smith live in apartment 12of a large building. Their names are included in the list of residents.When a user clicks on either John Smith or Jane Smith, we will display a“Single Family Residence” page showing both John and Jane, just as ifapartment 12 was a separate structure, according to one embodiment.

The broadcast feature (e.g., associated with the neighborhood broadcastdata and generated by the Bezier curve algorithm 3040 of the socialcommunity algorithm 2906) may be a “Radio” like function that uses themobile device's current geospatial location to send out information toneighbors around the present geospatial location of the user, accordingto one embodiment. Broadcasts may be posted to neighbor pages in thegeospatial vicinity (e.g., in the same neighborhood) on public andprivate pages in the geospatial social network, according to oneembodiment. These broadcasts may enable any user, whether they live in aneighborhood or not to communicate their thoughts to those that live orwork (or have claimed) a profile in the neighborhood around where thebroadcaster is physically at, regardless of where the broadcaster lives,according to one embodiment. Broadcasts can be audio, video, pictures,and or text, according to one embodiment. For accountability, thebroadcaster may be a verified user and their identity made public to allusers who receive the broadcast in one embodiment.

This means that the broadcast feature may be restricted to be used onlyby devices (e.g., mobile phones) that have a GPS chip (or othergeolocation device) that an identify a present location of where thebroadcast is originating from, according to one embodiment. Thebroadcast may be sent to all users who have claimed a profile in the geospatial vicinity where the broadcast originates, according to oneembodiment. This can either be broadcast live to whoever is “tuned” into a broadcast of video, audio, picture, and text in their neighborhood,or can be posted on each users profile if they do not hear the broadcastto the neighborhood in a live mode in one embodiment.

When a broadcast is made neighbors, around where the broadcast is made,they may receive a message that says something like:

Raj Abhyanker, a user in Menlo Park just broadcast “Japanese culturalprogram” video from the Cupertino Union church just now. Watch, Listen,View

This broadcast may be shared with neighbors around Menlo park, and or inCupertino. This way, Raj's neighbors and those in Cupertino can knowwhat is happening in their neighborhoods, according to one embodiment.In one embodiment, the broadcast only goes to one area (Cupertino orMenlo park in the example above).

Broadcasts could be constrained to devices that have geospatial accuracyof present location and a current only (mobile devices for example).Otherwise, broadcasts won't mean much, according to one embodiment(would otherwise be just like thoughts/video upload without this).Broadcasts shouldn't be confused with ‘upload videos’, according to oneembodiment. Different concepts. Why? Broadcasts have an accuracy of timeand location that cannot be altered by a user, according to oneembodiment, Hence, mobile is the most likely medium for this not desktopcomputer, according to one embodiment. We should not let the user settheir own location for broadcasts (like other pushpin types), accordingto one embodiment. Also time is fixed, according to one embodiment.Fixing and not making these two variables editable give users confidencethat the broadcast was associated with a particular time and place, andcreates a very unique feature, according to one embodiment. For example,it would be not useful if the broadcast is untrusted as to location oforigination, according to one embodiment. E.g., I broadcast when I amsomewhere only about the location I am at, according to one embodiment.

Broadcasts are different that other pushpins because location of where abroadcast, and time of broadcast is

*current location* and *current time*, according to one embodiment. Theyare initiated wherever a broadcaster is presently at, and added to thenews feed in the broadcasters neighborhood and in the area wherever abroadcaster is presently at, according to one embodiment.

Broadcast rules may include:

1. If I post a Broadcast in my secured neighborhood, only my neighborscan see it, according to one embodiment.

2. If I post a Broadcast in different secured neighborhood then my own,my neighbors can see it (e.g., unless I turn this off in my privacysetting) and neighbors in the secured neighborhood can see it (e.g.,default not turn-offable, but I can delete my broadcast), according toone embodiment.

3. If I post a Broadcast in different unsecured neighborhood then myown, my neighbors can see it (unless I turn this off in my privacysetting) and the broadcast is publicly visible on user pages of publicuser profiles in the unsecured neighborhood until profiles are claimedand/or the neighborhood is secured, according to one embodiment.

4. If an outsider in a secure neighborhood posts a broadcast in mysecure neighborhood, it's not public, according to one embodiment.

5. If an outsider in a unsecure neighborhood posts a broadcast in mysecure neighborhood, the system does not post on profiles in hisunsecure neighborhood (to prevent stalking, burglary), but does post inmy secure neighborhood, according to one embodiment.

Privacy settings. For each verified residential or business location,the user may set Privacy to Default, Public, Private, or Inactive,according to one embodiment. The Default setting (which is the default)means that the profile will be public, until the neighborhood issecured; in a secured neighborhood, the profile will be Private,according to one embodiment. By changing this setting, the user mayforce the profile to be Public or Private, regardless of whether theneighborhood is secured, according to one embodiment.

For each verified residential location, the user may set edit access toGroup Editable or Self Editable, according to one embodiment.

Residential Privacy example. The residential profiles can be: Public:anyone can search, browse, or view the user profile, according to oneembodiment. This is the default setting for unsecured neighborhoods(initially, all the content on the site), according to one embodiment.Private: only people in my neighborhood can search, browse, or view theuser's profile, according to one embodiment. This is the default forsecured neighborhoods, according to one embodiment. Inactive: nobody cansearch, browse, or view the profile, even within a secured neighborhood,according to one embodiment. A user may have at least one active (publicor private), verified profile in order to have edit capabilities,according to one embodiment; if the user makes all profiles inactive,that user is treated (for edit purposes) as an unverified user,according to one embodiment.

Verified users can edit the privacy setting for their profile andoverride the default, according to one embodiment. Group Editable:anyone with access to a profile based on the privacy roles above canedit the profile, according to one embodiment. This is the defaultsetting, according to one embodiment Self Editable, only the verifiedowner of a profile can edit that profile, according to one embodiment.

Exceptions Guest User. A verified user in another neighborhood is given“Guest” access to a neighborhood for a maximum of 340 days by a verifieduser in the neighborhood in which the guest access is given, accordingto one embodiment. In effect, the guest becomes a member of theneighborhood for a limited period, according to one embodiment. Friend.When a user has self-elected being friends with someone in a differentneighborhood, they can view each other's profiles only (not theirneighbors), according to one embodiment. One way for a user to verify alocation is to submit a scanned utility bill, according to oneembodiment.

When a moderator selects the Verify Utility Bills function, the screenwill display a list of items for processing, according to oneembodiment. Accept the utility bill as a means of verification,according to one embodiment. This will verify the user's location, andwill also generate an e-mail to the user, according to one embodiment.Or Decline the utility bill as a means of verification, according to oneembodiment. There will be a drop-down list to allow the moderator toselect a reason, according to one embodiment; this reason will beincluded in an e-mail message to the user. Reasons may include: Namedoes not match, address does not match, name/address can't be read, nota valid utility bill, according to one embodiment.

In one embodiment, a method includes associating a verified registereduser (e.g., a verified registered user 4110 of FIG. 41A-B, a verifiedregistered user 4110 of FIG. 16) with a user profile, associating theuser profile (e.g., the user profile 4000 of FIG. 40A) with a verifiedgeographic location, generating a map (e.g., a map 1701 of FIG. 17)concurrently displaying the user profile and/or the verified geographiclocation and simultaneously generating, in the map (e.g., the map 1701of FIG. 17), claimable profiles (e.g., a claimable profile 4006 of FIG.40B-41A, a claimable profile 4102 of FIG. 41A, a claimable profile 1704of FIG. 17) associated with different geographic locations surroundingthe verified geographic location associated with the user profile (e.g.,the user profile 4000 of FIG. 40A).

In another embodiment, a system includes a plurality of neighborhoods(e.g., the neighborhood(s) 2902A-N of FIG. 29) having registered usersand/or unregistered users of a global neighborhood environment 1800(e.g., a privacy server 2900 of FIG. 29), a social community algorithm(e.g., a social community algorithm 2906 of FIG. 29, a social communityalgorithm 2906 of FIG. 30) of the global neighborhood environment 1800(e.g., the privacy server 2900 of FIG. 29) to generate a buildingcreator (e.g., through building builder 3000 of FIG. 30) in which theregistered users may create and/or modify empty claimable profiles(e.g., the claimable profile 4006 of FIG. 40A-40B, the claimable profile4102 of FIG. 41A, the claimable profile 1704 of FIG. 17), buildinglayouts, social network pages, and/or floor levels structures housingresidents and businesses in the neighborhood (e.g., the neighborhood2900 of FIG. 29), a claimable algorithm (e.g., a claimable algorithm2910 of FIG. 29, a claimable algorithm 2910 of FIG. 32) of the globalneighborhood environment 1800 (e.g., the privacy server 2900 of FIG. 29)to enable the registered users to create a social network page ofthemselves, and/or to edit information associated with the unregisteredusers identifiable through a viewing of physical properties in which theunregistered users reside when the registered users have knowledge ofcharacteristics associated with the unregistered users.

In addition, the system may include search algorithm (e.g., a searchalgorithm 2908 of FIG. 29, a search algorithm 2908 of FIG. 31) of theglobal neighborhood environment 1800 (e.g., the privacy server 2900 ofFIG. 29) to enable a people search (e.g., information stored in peopledatabase 3016 of FIG. 30), a business search (e.g., information storedin business database 3020 of FIG. 30), and a category search of any datain the social community algorithm (a social community algorithm 2906 ofFIG. 29, a social community algorithm 2906 of FIG. 30) and/or to enableembedding of any content in the global neighborhood environment 1800(e.g., the privacy server 2900 of FIG. 29) in other search engines,blogs, social networks, professional networks and/or static websites, acommerce algorithm (e.g., a commerce algorithm of FIG. 29, a commercealgorithm of FIG. 33) of the global neighborhood environment 1800 (e.g.,the privacy server 2900 of FIG. 29).

The system may also provide an advertisement system to a business (e.g.,through business display advertisement algorithm 3302 of FIG. 33) whopurchase their location in the global neighborhood environment 1800(e.g., the privacy server 2900 of FIG. 29) in which the advertisement isviewable concurrently with a map indicating a location of the business,and in which revenue is attributed to the global neighborhoodenvironment 1800 (e.g., the privacy server 2900 of FIG. 29) when theregistered users and/or the unregistered users click-in on asimultaneously displayed data of the advertisement along with the mapindicating a location of the business, a map algorithm (a map algorithm2914 of FIG. 29) of the global neighborhood environment 1800 (e.g., theprivacy server 2900 of FIG. 29) to include a map data associated with asatellite data which serves as a basis of rendering the map in theglobal neighborhood environment 1800 (e.g., the privacy server 2900 ofFIG. 29) and/or which includes a simplified map generator (e.g.,simplified map generator algorithm 3402 of FIG. 34) which can transformthe map to a fewer color and location complex form using a parcel datawhich identifies at least some residence, civic, and/or businesslocations in the satellite data.

In yet another embodiment, a global neighborhood environment 1800 (e.g.,a privacy server 2900 of FIG. 29) includes a first instruction set toenable a social network to reside above a map data, in which the socialnetwork may be associated with specific geographical locationsidentifiable in the map data, a second instruction set integrated withthe first instruction set to enable the users (e.g., the user 2916 ofFIG. 29) of the social network to create profiles of other peoplethrough a forum which provides a free form of expression of the userssharing information about any entities and/or people residing in anygeographical location identifiable in the satellite map data, and/or toprovide a technique of each of the users (e.g., the user 2916 of FIG.29) to claim a geographic location (a geographic location 4004 of FIG.40A) to control content in their respective claimed geographic locationsand a third instruction set integrated with the first instruction setand/or the second instruction set to enable searching of people in theglobal neighborhood environment 1800 (e.g., the privacy server 2900 ofFIG. 29) by indexing each of the data shared by the users (e.g., theuser 2916 of FIG. 29) of any of the people and entities residing in anygeographic location (a geographic location 4004 of FIG. 40A).

A method and system of direct mailing in a geo-spatial environment 100are disclosed.

In one aspect, a method includes generating a community network 200 ofuser profiles, each user profile of the user profiles associated with averified geographic location 206 and a contact address 210. The methodincludes associating a first user with a first user profile of the userprofiles, selecting a mail mode, and selecting a communication. Themethod further includes generating a first display view to include a mapview 406 embodied by the community network 200, at least a portion ofthe user profiles represented at a location in the map view 406associated with the verified geographic location 206 of the first userprofile of the user profiles. The method includes selecting a seconduser profile from the at least a portion of the user profiles, andgenerating a mailing of the communication, in a format associated withthe mail mode, between the first user profile of the user profiles andthe contact address 210 associated with the second user profile of theuser profiles, wherein the contact address 210 is based on the mailmode.

The selecting the mail mode may include selecting a physical mail mode,a facsimile mode, an email mode, and/or an instant message mode. Thecontact address 210 may be selected from a group including: a physicalmailing address associated with the verified geographic location 206 ofthe user profile, a facsimile number, an email address, and/or aninstant message user identifier. A physical mail mode may be selected.

The mailing of the communication may be generated in a physical formatassociated with the physical mail mode, between the first user profileof the user profiles and the contact address 210 associated with thesecond user profile of the user profiles. The contact address 210 may bebased on a physical address associated with the second user profile ofthe user profiles. A facsimile mode may be selected. The mailing of thecommunication may be generated in a facsimile format associated with thefacsimile mode, between the first user profile of the user profiles andthe contact address 210 associated with the second user profile of theuser profiles. The contact address 210 may be based on the facsimilenumber associated with the second user profile of the user profiles.

An email mode may be selected. The mailing of the communication may begenerated in an email format associated with the email mode, between thefirst user profile of the user profiles and the contact address 210associated with the second user profile of the user profiles. Thecontact address 210 may be based on the email address associated withthe second user profile of the user profiles. An instant message modemay be selected. The mailing of the communication may be generated in aninstant message format associated with the instant message mode, betweenthe first user profile of the user profiles and the contact address 210associated with the second user profile of the user profiles. Thecontact address 210 may be based on the instant message user identifierassociated with the second user profile of the user profiles.

The location may be selected in the map view 406 from a group including:a street address, a city, a county, a state, and/or a country. A radiusassociated with the location in the map view 406 may be selected. Userprofiles of the at least a portion of the user profiles having verifiedgeographic location 206 s included in the radius may be selected.Demographics associated with the community network 200 may be provided.The demographics may be associated with each user profile of the userprofiles. At least one demographic of the demographics may be selected.The user profiles of the at least a portion of the user profiles havingverified geographic location 206 s included in the radius and having theat least one demographic of the demographics may be selected.

The demographics may include an age, an age range, a gender, anoccupation, an ethnicity, a location of a residence, a location of abusiness, a marital status, an ownership status, a language, mobility,income, a life cycle, a socioeconomic status, and/or a lifestyle. Anonline commerce transaction associated with the mailing of thecommunication may be generated. The generating the online commercetransaction may include generating an online transaction associated withpayment of postage, and/or generating an online transaction associatedwith payment of services related to the mailing of the communication.

The mailing of the communication may be scheduled. The scheduling themailing of the communication may include determining a number ofmailings, determining a time period, and/or generating the number ofmailings within the time period. The communication may be created. Themethod may be in a form of a machine-readable medium embodying a set ofinstructions that, when executed by a machine, causes the machine toperform the method.

In another aspect, a system includes a geo-spatial environment 100, acommunity network 200 algorithm of the geo-spatial environment 100, toinclude user profiles, using a processor and a memory, each user profileof the user profiles to include a verified geographic location 206 and acontact address 210. The system includes a map algorithm of thegeo-spatial environment 100 to include map data which serves as a basisto render a map view 406 in the geo-spatial environment 100 whichidentifies residences, businesses, and civic structures having verifiedgeographic location 206 s. The system further includes a mail modealgorithm of the geo-spatial environment 100 to determine a mail mode, acommunication algorithm of the geo-spatial environment 100 to select acommunication, and a display algorithm of the geo-spatial environment100 to generate a first display view to include a map view 406 embodiedby a community network 200, at least a portion of the user profilesrepresented at locations in the map view 406 associated with theverified geographic location 206 s of the at least a portion of the userprofiles. The system also includes a recipient algorithm of thegeo-spatial environment 100 to select a user profile from the at least aportion of the user profiles and a mail communication algorithm of thegeo-spatial environment 100 to generate a mailing of the communication,in a format associated with the mail mode, to a contact address 210associated with the user profile of the user profiles.

A commerce transaction algorithm 302 of the geo-spatial environment 100may generate a commerce transaction associated with elements. A postagealgorithm 302A of the geo-spatial environment 100 may generate an onlinetransaction associated with payment of postage and/or a service paymentalgorithm of the geo-spatial environment 100 may generate an onlinetransaction associated with payment of services related to mailing thecommunication. A location algorithm 304 may select the location. Thelocation may be selected from a group including: a street address, acity, a county, a state, and/or a country.

A radius algorithm 306 may determine a radius based on the location andto display the at least a portion of the user profiles having verifiedgeographic location 206 s included in the radius. A demographicalgorithm 308 may provide demographics associated with the userprofiles, select demographic of the demographics, and/or determine agroup of user profiles of the at least a portion of the user profiles.The demographics may be associated with each user profiles of the groupof user profiles. The demographic may be selected from a group includingan age, an age range, a gender, an occupation, an ethnicity, a locationof a residence, a location of a business, a marital status, an ownershipstatus, a language, mobility, income, a life cycle, a socioeconomicstatus, and a lifestyle.

A scheduler algorithm 310 may schedule the mailing. The schedule may bebased on a selected number of mailings per a predetermined time period.A document creation algorithm 312 may enable creation of a document. Aletter creation algorithm 312A may enable creation of letters and/or amarketing brochure creation algorithm may enable creation of marketingbrochures. The mail mode may be selected from a group including aphysical mail mode, a facsimile mode, an email mode, and/or an instantmessage mode. The contact address 210 may be selected from a groupincluding a physical mailing address associated with the verifiedgeographic location 206 of the user profile, a facsimile number, anemail address, and/or an instant message user identifier.

In yet another aspect, a geo-spatial environment 100 includes a firstinstruction set to enable, using a processor and a memory, a communitynetwork 200 to include a map database associated with map data and auser database associated with user profiles, each user profile of theuser profiles associated with a verified geographic location 206identifiable in the map data and a contact address 210. The geo-spatialenvironment 100 includes a second instruction set integrated with thefirst instruction set to display a map view 406, embodied by thecommunity network 200, to include representations of a portion of theuser profiles. Each representation of a user profile of the portion ofthe user profiles is displayed at a location in the map view 406corresponding to the verified geographic location 206 associated withthe user profile. The geo-spatial environment 100 also includes a thirdinstruction set integrated with the first instruction set and the secondinstruction set to determine a second user profile of the portion of theuser profiles, a communication, and a mail mode. The geo-spatialenvironment 100 further includes a fourth instruction set integratedwith the first instruction set and the second instruction set and thethird instruction set to generate a mailing of the communication, in aformat associated with the mail mode, to the contact address 210associated with the second user profile of the user profiles, whereinthe contact address 210 is based on the mail mode.

A fifth instruction set may generate a commerce transaction associatedwith the mailing of the communication. A sixth instruction set mayschedule the mailing of the communication. A seventh instruction set mayenable creation of the communication.

The methods, systems, and apparatuses disclosed herein may beimplemented in any means for achieving various aspects, and may beexecuted in a form of a machine-readable medium embodying a set ofinstructions that, when executed by a machine, cause the machine toperform any of the operations disclosed herein. Other features will beapparent from the accompanying drawings and from the detaileddescription that follows.

An example embodiment will now be described. In one embodiment, Bob maybe new to his neighborhood and/or may not know many of his neighborswell. Bob may be looking for advice about the neighborhood. Bob may nothave a suitable way to contact his neighbors. Bob may live in a busyarea in a city and/or may not be able to go door to door as Bob may notwant to intrude on his new neighbors and/or many of his neighbors maynot be available (e.g., may be at work). Many neighbors may not belisted in the phone book and/or Bob may not know the names of hisneighbors (e.g., people living around his claimed location (e.g.,residence).

Bob may be able to claim his profile on the community network (e.g.,Fatdoor.com) and/or view profiles of users around his location. Bob maybe able to select profiles and/or establish communications (e.g., byemail, physical mail, by attaining a phone number) with his neighbors.Bob may be able to meet new individuals, get recommendations onrestaurants, and/or create connections in his community (e.g.,neighborhood) quickly and easily.

In another embodiment, Jenna may live in a large apartment complex in ametropolitan area. Jenna may not know many individuals living around herand/or may only know small pieces of information such as names ofpeople. Jenna may not know which apartments certain people live inand/or may not have contact information for many people she sees aroundthe apartment buildings. Jenna may find a lost item (e.g., a set ofkeys, a package, a cell phone) and may not have the means of returningthe item to its owner.

Jenna may log onto a community network (e.g., the geo-spatialenvironment 100 and/or Fatdoor.com) and/or search and/or view profilesof people in her area (e.g., community and/or neighborhood). Jenna maylocate the owner of the lost item and/or may be able to open a line ofcommunication with the other user. Jenna may be able to return the lostitem(s) to the owner more easily and quickly than she could have byposting flyers and/or going door to door. Jenna may be able to makeconnections with users she would otherwise not be able to connect withand/or may help to establish a sense of community by using the communitynetwork.

It will be understood with those skill in the art that in someembodiments, the social community algorithm 2906 may restrictdissemination of broadcast data by verified users to claimedneighborhoods in a private neighborhood social network (e.g. the privacyserver 2900 may be a private social network, the neighborhood curationsystem described herein may also be part of the private neighborhoodsocial network) in which the broadcaster resides (e.g., has a home)using the radial algorithm (e.g., the Bezier curve algorithm 3040 ofFIG. 30). The privacy server 2900 may include online communitiesdesigned to easily create private websites to facilitate communicationamong neighbors and build stronger neighborhoods (e.g., to helpneighbors build stronger and safer neighborhoods).

Further, it follows that the threshold radial distance generated throughthe Bezier curve algorithm 3040 of FIG. 30 may take on a variety ofshapes other than purely circular and is defined to encompass a varietyof shapes based on associated geographic, historical, political and/orcultural connotations of associated boundaries of neighborhoods and/oras defined by a city, municipality, government, and/or data provider(e.g., Maponics®, Urban Mapping®), in one embodiment. For example, thethreshold radial distance may be based on a particular context, such asa school boundary, a neighborhood boundary, a college campus boundary, asubdivision boundary, a parcel boundary, and/or a zip code boundary. Inan alternate embodiment, a first claiming user 2916 in a particularneighborhood may draw a polygon to indicate a preferred boundary.

In an alternative embodiment, the threshold radial distance generatedusing the Bezier curve algorithm 3040 by the privacy server 2900 may berestricted to a shared apartment building (e.g., and/or an officebuilding). In addition, it will be understood with those skilled in theart that the privacy server 2900 may be operate as a function of theprivacy server 2900 (e.g., a neighborhood social network).

In addition, it will be understood that in some embodiments, theneighborhood broadcast data is generated by the police department (e.g.,and/or others of the neighborhood services) in the form of crime alerts,health alerts, fire alerts, and other emergency alerts and provided as afeed (e.g., a Real Simple Syndication (RSS) feed) to the privacy server2900 for distribution to relevant ones of the claimed neighborhoods inthe privacy server 2900. It will be understood that the neighborhoodbroadcast data may appear in a ‘feed’ provided to users of the privacyserver 2900 (e.g., a private social network for neighbors) on theirprofile pages based on access control privileges set by the socialcommunity algorithm using the Bezier curve algorithm 3040. For example,access to the neighborhood broadcast data may be limited to just aclaimed neighborhood (e.g., as defined by neighborhood boundaries)and/or optionally adjacent neighborhoods.

In one embodiment, the privacy server 2900 may provide policedepartments and other municipal agencies with a separate login in whichthey can invite neighbors themselves, provide for a virtual neighborhoodwatch and emergency preparedness groups, and conduct high value crimeand safety related discussions from local police and fire officialswithout requiring any technical integration. This may provide policedepartments and municipalities with a single channel to easily broadcastinformation across neighborhoods that they manage, and receive and trackneighborhood level membership and activity to identify leaders of aneighborhood.

For example, communications defined from one broadcasting user to anadjacent neighborhood o may involve sharing information about asuspicious activity that might affect several neighborhoods, explainingabout a lost pet that might have wandered into an adjoiningneighborhood, to rally support from neighbors from multipleneighborhoods to address civic issues, to spread the word about eventslike local theater production or neighborhood garage sales, and/or toask for advice or recommendations from the widest range of people in acommunity). In one embodiment, the privacy server 2900 may preventself-promotional messages that are inappropriate (e.g., a user sendingsuch messages may be suspended from the geospatially constrained socialnetwork using the crowd sourced moderation algorithm 3004. In oneembodiment, the user 2916 may personalize nearby neighborhoods so thatthe user can choose exactly which nearby neighborhoods (if any) theywish to communicate with. The user 2916 may be able to flag aneighborhood feeds from adjacent neighborhoods. In addition, leadersfrom a particular neighborhood may be able to communicate privately withleaders of an adjoining neighborhood to plan and organize on behalf ofan entire constituency. Similarly, users 2906 may be able to filterfeeds to only display messages from the neighborhood that they residein. The user 2916 may be able to restrict posts (e.g., pushpinplacements) only in the neighborhood they are presently in. In oneembodiment, nearby neighbors may (or may not) be able to access profilesof adjacent neighborhoods.

It will also be understood that in some embodiments, that users may be‘verified through alternate means, for example through a utility billverification (e.g., to verify that a user's address on a utility billmatches the residential address they seek to claim), a credit cardverification (e.g., or debit card verification), a phone numberverification (e.g., reverse phone number lookup), a privately-publishedaccess code (e.g., distributed to a neighborhood association president,and/or distributed at a neighborhood gathering), and a neighbor vouchingmethod (e.g., in which an existing verified neighbor ‘vouches’ for a newneighbor as being someone that they personally know to be living in aneighborhood.

In one embodiment, the privacy server 2900 ensures a secure and trustedenvironment for a neighborhood website by requiring all members toverify their address. In this embodiment, verification may provideassurance the assurance that new members are indeed residing at theaddress they provided when registering for an account in the privacyserver 2900. Once a neighborhood has launched out of pilot status, onlymembers who have verified their address may be able access to theirneighborhood website content.

It will be understood that among the various ways of verifying anaddress, a user of the privacy server 2900 may uses the followingmethods to verify the address of every member:

A. Postcard. The privacy server 2900 can send a postcard to the addresslisted on an account of the user 2916 with a unique code printed on it(e.g., using the Fatmail postcard campaign). The code may allow the user2916 to log in and verify their account.

B. Credit or debit card. The privacy server 2900 may be able to verify ahome address through a credit or debit card billing address. In oneembodiment, billing address may be confirmed without storing personallyidentifiable information and/or charging a credit card.

C. Home phone. If a user 2916 has a landline phone, the user may receivean automated phone call from the privacy server 2900 that may providewith a unique code to verify an account of the user 2916.

D. Neighborhood leader. A neighborhood leader of the geo-spatiallyconstrained social network can use a verify neighbors feature of theprivacy server 2900 to vouch for and verify neighbors.

E. Mobile phone. A user 2916 may receive a call to a mobile phoneassociated with the user 2916 to verify their account.

F. Neighbor invitations. A neighbor who is a verified member of theprivacy server 2900 can vouch for, and may invite another neighbor tojoin the privacy server 2900. Accepting such an invitation may allow theuser 2916 to join the privacy server 2900 as a verified member,according to one embodiment.

H. Social Security Number (SSN). The privacy server 2900 can verify ahome address when the user 2916 provides the last 4 digits of a SSN(e.g., not stored by the privacy server 2900 for privacy reasons).

It will be also understood that in a preferred embodiment neighborhoodboundaries are defined by the social community algorithm 2906 using theBezier curve algorithm 3040 of FIG. 30 may be constrained to work inneighborhoods having a threshold number of homes (e.g., 10 homes,alternatively 2900 homes in a neighborhood) and more (e.g., up tothousands of homes) as this may be needed to reach the critical mass ofactive posters that is needed to help the privacy server 2900 succeed.In one embodiment, ‘groups’ may be creatable in smaller neighborhoodshaving fewer than the threshold number of homes for communications inmicro-communities within a claimed neighborhood.

It will also be appreciated that in some embodiments, a mobile device(e.g., the device 1806, the device 1808 of FIG. 18) may be a desktopcomputer, a laptop computer, and/or a non-transitory broadcastingalgorithm. In addition, it will be understood that the prepopulated data(e.g., preseeded data) described herein may not be created through datalicensed from others, but rather may be user generated content oforganically created profiles in the geo-spatial social network createdby different users who have each verified their profiles.

Although the present embodiments have been described with reference tospecific example embodiments, it will be evident that variousmodifications and changes may be made to these embodiments withoutdeparting from the broader spirit and scope of the various embodiments.For example, the various devices, algorithms, analyzers, generators,etc. described herein may be enabled and operated using hardwarecircuitry (e.g., CMOS based logic circuitry), firmware, software and/orany combination of hardware, firmware, and/or software (e.g., embodiedin a machine readable medium). For example, the various electricalstructure and methods may be embodied using transistors, logic gates,and electrical circuits (e.g., application specific integrated ASICcircuitry and/or in Digital Signal; Processor DSP circuitry).

For example, the social community algorithm 2906, the search algorithm2908, the claimable algorithm 2910, the commerce algorithm, the mapalgorithm 2914, the building builder algorithm 3000, the N^(th) degreealgorithm, the tagging algorithm 3004, the verify algorithm 3006, thegroups generator algorithm 3008, the pushpin algorithm 3010, the profilealgorithm 3012, the announce algorithm 3014, the friend finder algorithm3022, the neighbor-neighbor help algorithm 3024, the business searchalgorithm 3102, the communicate algorithm 3106, the directory assistancealgorithm 3108, the embedding algorithm 3110, the no-match algorithm3112, the range selector algorithm 3114, the user-place claimablealgorithm, the user-user claimable algorithm 3202, the user-neighborclaimable algorithm 3204, the user-business claimable algorithm 3206,the reviews algorithm 3208, the defamation prevention algorithm 3210,the claimable social network conversion algorithm 3212, the claimalgorithm 3214, the data segment algorithm 3216, the dispute resolutionalgorithm 3218, the resident announce payment algorithm 3300, thebusiness display advertisement algorithm 3302, the geo-positionadvertisement ranking algorithm 3304, the content syndication algorithm3306, the text advertisement algorithm 3308, the community market placealgorithm 3310, the click-in tracking algorithm 3312, the satellite dataalgorithm 3400, the cartoon map converter algorithm 3404, the profilepointer algorithm 3406, the parcel algorithm 3408 and the occupantalgorithm 3410 of FIGS. 1-41B may be embodied through the socialcommunity circuit, the search circuit, the claimable circuit, thecommerce circuit, the map circuit, the building builder circuit, theN^(th) degree circuit, the tagging circuit, the verify circuit, thegroups circuit, the pushpin circuit, the profile circuit, the announcecircuit, the friends finder circuit, the neighbor-neighbor help circuit,the business search circuit, the communicate circuit, the embeddingcircuit, the no-match circuit, the range selector circuit, theuser-place claimable circuit, the user-user claimable circuit, theuser-neighbor claimable circuit, the user-business circuit, the reviewscircuit, the defamation prevention circuit, the claimable social networkconversion circuit, the claim circuit, the data segment circuit, thedispute resolution circuit, the resident announce payment circuit, thebusiness display advertisement circuit, the geo-position advertisementranking circuit, the content syndication circuit, the text advertisementcircuit, the community market place circuit, the click-in trackingcircuit, the satellite data circuit, the cartoon map converter circuit,the profile pointer circuit, the parcel circuit, the occupant circuitusing one or more of the technologies described herein.

In addition, it will be appreciated that the various operations,processes, and methods disclosed herein may be embodied in amachine-readable medium and/or a machine accessible medium compatiblewith a data processing system (e.g., a computer system), and may beperformed in any order. Accordingly, the specification and drawings areto be regarded in an illustrative rather than a restrictive sense.

What is claimed is:
 1. A method, comprising: generating a communitynetwork of user profiles, each user profile of the user profilesverified with a verified geographic location and at least one of acontact address based on a privacy preference; associating a first userwith a first user profile of the user profiles; selecting a mail mode;selecting a communication; generating a first display view to include amap view embodied by the community network, at least a portion of theuser profiles represented at a location in the map view associated withthe verified geographic location of the first user profile of the userprofiles; selecting a second user profile from the at least a portion ofthe user profiles; and generating a mailing of the communication, in aformat associated with the mail mode, between the first user profile ofthe user profiles and the contact address associated with the seconduser profile of the user profiles, wherein the contact address is basedon the mail mode.
 2. The method of claim 1, wherein the selecting themail mode comprises: selecting at least one of a physical mail mode, afacsimile mode, an email mode, and an instant message mode.
 3. Themethod of claim 1, wherein the contact address is selected from a groupcomprising: a physical mailing address associated with the verifiedgeographic location of the user profile, a facsimile number, an emailaddress, and an instant message user identifier.
 4. The method of claim3, further comprising: selecting a physical mail mode; and generatingthe mailing of the communication, in a physical format associated withthe physical mail mode, between the first user profile of the userprofiles and the contact address associated with the second user profileof the user profiles, wherein the contact address is based on a physicaladdress associated with the second user profile of the user profiles. 5.The method of claim 3, further comprising: selecting a facsimile mode;and generating the mailing of the communication, in a facsimile formatassociated with the facsimile mode, between the first user profile ofthe user profiles and the contact address associated with the seconduser profile of the user profiles, wherein the contact address is basedon the facsimile number associated with the second user profile of theuser profiles.
 6. The method of claim 3, further comprising: selectingan email mode; and generating the mailing of the communication, in anemail format associated with the email mode, between the first userprofile of the user profiles and the contact address associated with thesecond user profile of the user profiles, wherein the contact address isbased on the email address associated with the second user profile ofthe user profiles.
 7. The method of claim 3, further comprising:selecting an instant message mode; and generating the mailing of thecommunication, in an instant message format associated with the instantmessage mode, between the first user profile of the user profiles andthe contact address associated with the second user profile of the userprofiles, wherein the contact address is based on the instant messageuser identifier associated with the second user profile of the userprofiles.
 8. The method of claim 1, further comprising: selecting thelocation in the map view from a group comprising: a street address, acity, a county, a state, and a country.
 9. The method of claim 8,further comprising: selecting a radius associated with the location inthe map view; and selecting user profiles of the at least a portion ofthe user profiles having verified geographic locations included in theradius.
 10. The method of claim 9, further comprising: providingdemographics associated with the community network; associating at leastone of the demographics with each user profile of the user profiles;selecting at least one demographic of the demographics; and selectingthe user profiles of the at least a portion of the user profiles havingverified geographic locations included in the radius and having the atleast one demographic of the demographics.
 11. The method of claim 10,wherein the demographics include an age, an age range, a gender, anoccupation, an ethnicity, a location of a residence, a location of abusiness, a marital status, an ownership status, a language, mobility,income, a life cycle, a socioeconomic status, and a lifestyle.
 12. Themethod of claim 1, further comprising: generating an online commercetransaction associated with the mailing of the communication.
 13. Themethod of claim 12, wherein the generating the online commercetransaction comprises at least one of: generating an online transactionassociated with payment of postage; and generating an online transactionassociated with payment of services related to the mailing of thecommunication.
 14. The method of claim 1, further comprising: schedulingthe mailing of the communication.
 15. The method of claim 14, whereinthe scheduling the mailing of the communication comprises: determining anumber of mailings; determining a time period; and generating the numberof mailings within the time period.
 16. The method of claim 1, furthercomprising: creating the communication.
 17. The method of claim 1 in aform of a machine-readable medium embodying a set of instructions that,when executed by a machine, causes the machine to perform the method ofclaim
 1. 18. A system, comprising: a geo-spatial environment; acommunity network algorithm of the geo-spatial environment, to includeuser profiles, using a processor and a memory, each user profile of theuser profiles to include a verified geographic location and a contactaddress based on a privacy preference; a mail mode algorithm of thegeo-spatial environment to determine a mail mode; a communicationalgorithm of the geo-spatial environment to select a communication; adisplay algorithm of the geo-spatial environment to generate a firstdisplay view to include a map view embodied by a community network, atleast a portion of the user profiles represented at locations in the mapview associated with the verified geographic locations of the at least aportion of the user profiles; a recipient algorithm of the geo-spatialenvironment to select a user profile from the at least a portion of theuser profiles; and a mail communication algorithm of the geo-spatialenvironment to generate a mailing of the communication, in a formatassociated with the mail mode, to a contact address associated with theuser profile of the user profiles.
 19. The system of claim 18, furthercomprising: a map algorithm of the geo-spatial environment to includemap data which serves as a basis to render a map view in the geo-spatialenvironment which identifies at least one residence, business, and civicstructure having specific geographic locations; and a commercetransaction algorithm of the geo-spatial environment to generate acommerce transaction associated with elements.
 20. The system of claim19, further comprising: a postage algorithm of the geo-spatialenvironment to generate an online transaction associated with payment ofpostage; and a service payment algorithm of the geo-spatial environmentto generate an online transaction associated with payment of servicesrelated to mailing the communication.
 21. The system of claim 18,further comprising: a location algorithm to select the location, whereinthe location is selected from a group comprising: a street address, acity, a county, a state, and a country.
 22. The system of claim 18,further comprising: a radius algorithm to determine a radius based onthe location and to display the at least a portion of the user profileshaving verified geographic locations included in the radius.
 23. Thesystem of claim 18, further comprising: a demographic algorithm toprovide demographics associated with the user profiles; to select atleast one demographic of the demographics, and to determine a group ofuser profiles of the at least a portion of the user profiles, whereinthe at least one demographics is associated with each user profiles ofthe group of user profiles.
 24. The system of claim 23, wherein thedemographic is selected from a group comprising an age, an age range, agender, an occupation, an ethnicity, a location of a residence, alocation of a business, a marital status, an ownership status, alanguage, mobility, income, a life cycle, a socioeconomic status, and alifestyle.
 25. The system of claim 18, Further comprising: a scheduleralgorithm to schedule the mailing.
 26. The system of claim 25, whereinthe schedule is based on a selected number of mailings per apredetermined time period.
 27. The system of claim 18, furthercomprising: a document creation algorithm to enable creation of adocument.
 28. The system of claim 27, further comprising: a lettercreation algorithm to enable creation of letters; and a marketingbrochure creation algorithm to enable creation of marketing brochures.29. The system of claim 18, wherein the mail mode is selected from agroup comprising a physical mail mode, a facsimile mode, an email mode,and an instant message mode.
 30. The system of claim 18, wherein thecontact address is selected from a group comprising a physical mailingaddress associated with the specific geographic location of the userprofile, a facsimile number, an email address, and an instant messageuser identifier.
 31. A geo-spatial environment, comprising: a firstinstruction set to enable, using a processor and a memory, a communitynetwork, to include a map database associated with map data and a userdatabase associated with user profiles, each user profile of the userprofiles associated with a verified geographic location identifiable inthe map data and a contact address; a second instruction set integratedwith the first instruction embody a private neighborhood communitynetwork, to include representations of at least a portion of the userprofiles, wherein each representation of a user profile of the at leasta portion of the user profiles is displayed at a location in the mapview corresponding to the verified geographic location associated withthe user profile; a third instruction set integrated with the firstinstruction set and the second instruction set to determine a seconduser profile of the at least a portion of the user profiles, acommunication, and a mail mode; and a fourth instruction set integratedwith the first instruction set and the second instruction set and thethird instruction set to generate a mailing of the communication, in aformat associated with the mail mode, to the contact address associatedwith the second user profile of the user profiles, wherein the contactaddress is based on the mail mode.
 32. The geo-spatial environment ofclaim 31, further comprising: a fifth instruction set to generate acommerce transaction associated with the mailing of the communication.33. The geo-spatial environment of claim 32, further comprising: a sixthinstruction set to schedule the mailing of the communication.
 34. Thegeo-spatial environment of claim 33, further comprising: a seventhinstruction set to enable creation of the communication.